test_recommend.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch_geometric.nn import GCNConv\n",
    "\n",
    "class GCNLinkPredictor(nn.Module):\n",
    "    def __init__(self, num_in_features, num_out_features=128, num_users=1):\n",
    "        super().__init__()\n",
    "        self.conv1 = GCNConv(num_in_features, num_out_features)\n",
    "        self.conv2 = GCNConv(num_out_features, num_out_features)\n",
    "        self.num_users = num_users\n",
    "\n",
    "    def forward(self, x, edge_index):\n",
    "        user_embedding = x[:self.num_users]\n",
    "        movie_features = x[self.num_users:].detach()\n",
    "        \n",
    "        x = torch.cat([user_embedding, movie_features], dim=0)\n",
    "        x = self.conv1(x, edge_index)\n",
    "        x = F.elu(x)\n",
    "        x = F.dropout(x, p=0.5, training=self.training)\n",
    "        x = self.conv2(x, edge_index)\n",
    "        x = F.elu(x)\n",
    "        x = F.dropout(x, p=0.5, training=self.training)\n",
    "        \n",
    "        x[self.num_users:] = movie_features\n",
    "        return x\n",
    "\n",
    "# 유저 - 영화 간 edge를 입력받아 유저-영화 간 관계 예측\n",
    "class LinkPredictor(nn.Module):\n",
    "    def __init__(self, input_dim):\n",
    "        super().__init__()\n",
    "        self.fc1 = nn.Linear(input_dim * 2, input_dim * 2)\n",
    "        self.fc2 = nn.Linear(input_dim * 2, input_dim)\n",
    "        self.fc3 = nn.Linear(input_dim, input_dim)\n",
    "        self.fc4 = nn.Linear(input_dim, 1)\n",
    "        self.dropout = nn.Dropout(p=0.5)\n",
    "\n",
    "    def forward(self, z, edge_index):\n",
    "        row, col = edge_index\n",
    "        z_row = z[row]\n",
    "        z_col = z[col]\n",
    "        # 임베딩 연결\n",
    "        z_concat = torch.cat([z_row, z_col], dim=1)\n",
    "        \n",
    "        # 비선형 활성화 함수\n",
    "        x = F.relu(self.fc1(z_concat))\n",
    "        # 정규화를 위한 드롭아웃\n",
    "        x = self.dropout(x)\n",
    "\n",
    "        x = F.relu(self.fc2(x))\n",
    "        x = self.dropout(x)\n",
    "\n",
    "        x = F.relu(self.fc3(x))\n",
    "        x = self.dropout(x)\n",
    "        \n",
    "        return torch.sigmoid(self.fc4(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinkPredictor(\n",
       "  (fc1): Linear(in_features=808, out_features=808, bias=True)\n",
       "  (fc2): Linear(in_features=808, out_features=404, bias=True)\n",
       "  (fc3): Linear(in_features=404, out_features=404, bias=True)\n",
       "  (fc4): Linear(in_features=404, out_features=1, bias=True)\n",
       "  (dropout): Dropout(p=0.5, inplace=False)\n",
       ")"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_in_features = 404\n",
    "num_out_features = 404\n",
    "num_users = 1\n",
    "\n",
    "# load saved models\n",
    "gcn_model = GCNLinkPredictor(num_in_features, num_out_features, num_users)\n",
    "link_predictor = LinkPredictor(num_out_features)\n",
    "gcn_model.load_state_dict(torch.load('gcn_model.pth'))\n",
    "link_predictor.load_state_dict(torch.load('link_predictor.pth'))\n",
    "\n",
    "# 모델을 evaluation 모드로 변경\n",
    "gcn_model.eval()\n",
    "link_predictor.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "movie_metadata = pd.read_excel(\"cinemate_data_0511.xlsx\")\n",
    "final_metadata = pd.read_excel(\"final_metadata_with_overview_embeddings_ver5_0511.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 20 recommended movies for the new user: tensor([9506, 5839, 4887, 6319, 4737, 6335, 4212, 7465, 5973, 1111, 9464, 4529,\n",
      "        6430, 7365, 7067, 6635, 2034, 6741,  794, 2978])\n",
      "Comedy,Drama,Romance\n",
      "일자리가 없어 도시를 배회하는 떠돌이는 어느날 아침 산책길에서 꽃 파는 눈먼 소녀(를 만난다. 떠돌이는 마지막 동전을 털어서 꽃을 사주고, 육중한 차문 닫히는 소리에 소녀는 그를 부자로 오인한다. 소녀에게 애정을 느낀 떠돌이는 부자 행세를 하며 가깝게 지내고, 그녀의 눈을 수술할 비용을 마련해 주기로 약속한다. 어느 날 술에 취해 물에 빠진 백만장자를 구해준 떠돌이는 그와 친구가 되는데, 백만장자는 술에 취했을 때만 그를 알아보고 술이 깨면 그를 도둑으로 오인한다. 백만장자가 술에 취했을 때 소녀의 수술비를 얻어낸 떠돌이는 그가 술이 깨기 전에 달아나 소녀에게 돈을 전해주고 사라지는데...\n",
      "Comedy,Drama\n",
      "천재들만 간다는 일류 명문대 ICE, 성적과 취업만을 강요하는 학교를 발칵 뒤집어 놓은 대단한 녀석 란초! 아버지가 정해준 꿈, ‘공학자’가 되기 위해 정작 본인이 좋아하는 일은 포기하고 공부만 하는 파파보이 파르한! 찢어지게 가난한 집, 병든 아버지와 식구들을 책임지기 위해 무조건 대기업에 취직해야만 하는 라주! 친구의 이름으로 뭉친 ‘세 얼간이’! 삐딱한 천재들의 진정한 꿈을 찾기 위한 세상 뒤집기 한판이 시작된다!\n",
      "Comedy,Drama\n",
      "최악의 흉악범들이 모인 교도소 7번방에 이상한 놈이 들어왔다! 그는 바로 6살 지능의 딸바보 용구. 평생 죄만 짓고 살아온 7번방 패밀리들에게 떨어진 미션은 바로 용구 딸 예승이를 외부인 절대 출입금지인 교도소에 반.입.하.는.것! 웃음과 감동 가득한 사상초유의 합동작전이 시작된다!\n",
      "Comedy,Drama,Romance\n",
      "점잖은 양반들의 유쾌한 음란 센세이션!  “거 참 해괴한 책이로고!”  조선 최고 명문가 사대부, 음란소설 작가로 데뷔하다!  명망 높은 사대부 집안 자제이자 당대 최고의 문장가로 알려진 윤서(한석규)에게 권력은 쫓기에 허망한 것이요, 당파 싸움은 논하기에 그저 덧없는 것.  권태로운 양반 라이프를 살아가던 윤서는 반대파의 모략으로 골치 아픈 사건을 맡게 되고, 이 와중에 저잣거리 유기전에서 일생 처음 보는 ‘난잡한 책’을 접하게 되면서 알 수 없는 흥분을 느낀다. 윤서는 급기야 몸소 음란소설을 써 보는 용기를 발휘하게 되는데…  “도대체… 인간의 신체구조로 가능한 것이오?”\n",
      " 文-武, 書-畵의 결합, 두 양반의 완벽한 음란호흡!\n",
      " 추월색이라는 필명으로 음란소설을 발표하던 윤서는, 1인자가 되고싶은 욕심에 고신 전문가로 악명을 떨치고 있는 가문의 숙적 광헌(이범수)에게 소설 속 삽화를 그려줄 것을 부탁한다. 광헌 역시 자신의 맥박수치를 끌어 올리는 제안을 차마 거절치 못하고 윤서와 나란히 음란 소설 창작에 빠져 든다. 아름답고 격조높은 문체가 박력 넘치는 그림을 만났으니, 금상첨화, 화룡점정이라! 양반의 점잖음을 잊은 두 사람의 완벽한 음란호흡은 최고의 작품을 탄생시키고, 양반 콤비의 작품은 장안 최고의 화제작으로 급부상하는데…  “장안에 최고 문제작이라고 보면 된다니까!”\n",
      " 문제적 작가 추월색이 조선을 발칵 뒤집다!\n",
      " 장안 아녀자들의 몸을 달아오르게 한 추월색의 ‘흑곡비사’에 대한 반응이 뜨거우면 뜨거울수록 윤서와 광헌의 심장은 힘차게 뛰고 피는 뜨겁게 돌기 시작한다. 그러나 인생에서 가장 흥분된 나날을 보내는 두 사람에게 엄청난 사건이 기다리고 있었으니...... 구중궁궐 속, 왕의 총애를 받는 아름다운 여인 정빈(김민정)의 손에까지 ‘흑곡비사’가 흘러 들어간 것. 장안 최고의 문제작을 쓴 윤서, 광헌의 운명은 과연 어떻게 전개될 것인가!\n",
      "Comedy,Drama,Fantasy\n",
      "남들이 못 보는 찰나의 순간까지 볼 수 있는 남자 여장부. 독특한 시력으로 놀림 받던 어린 시절을 뒤로 하고  뛰어난 순간포착 능력을 인정 받아 CCTV 관제센터 에이스로 떠오르게 된다. CCTV 너머 하루 종일 지켜보며 우리의 일상에 느닷없이 찾아오는 이 남자!\n",
      "Comedy,Crime,Drama\n",
      "대학 강사를 할 만큼 똑똑하고 젠틀한 남자 황대우. 하지만 그에게 결정적인 결점이 있었으니, 바로 여자와 연애에 대해 체질적으로 거부감을 갖고있어 제대로 된 연애를 한 번도 못해본 소심한 성격의 소유자라는 것. 그런 그가 나이 서른이 넘어가자 커플 들이 눈에 밟히고, 어느 날 침대를 옮기다 허리를 다친 후에 커진 외로움에 어쩔 줄을 몰라 한다.  대우는 친구 성식의 장난으로 얼떨결에 미나에게 데이트 신청을 하게 되고 그녀는 놀랍게도 그의 서툰 데이트신청을 받아들이는데.. 하지만 처음 사랑을 시작하는 대우의 표현과 행동들은 어설프기만 하고 미나는 그런 대우와의 만남에 마음이 상하지만 어느새 그만의 순수함에 빠져 둘은 열정적인 연애를 시작하게 되는데...  그런데 그녀, 수상하다?? 취미는 독서에 미술전공을 하고 있다던 미나!! 도스토예프스키의 도 모른다. 미술학도가 자신이 소장한 그림의 미술가 도 모른다?? 지적인 미나와 전혀 어울리지 않는 룸메이트, 어느 날 나타난 전혀 그녀와 어울리지 않는 옛 남자친구, 무거운 짐 가방을 들고 외출하는 날이면 어김없이 온몸에 흙을 묻히고 오는 그녀!! 그리고, 결정적 증거! 그녀의 본명은 ‘이미나’가 아닌 ‘이미자’다. 사랑이 깊어질 수록 그녀에 대한 의심은 늘어나고 갑작스럽게 들어난 미나의 정체에 대우는 갈등에 빠지는데..\n",
      "Comedy,Crime,Drama\n",
      "한때는 모범 경찰, 지금은 잘 나가는 브로커 필재. 끊이지 않는 사건 수임으로 ‘신이 내린 브로커’로 불리는 그와  브로커 모시며 일하는 변호사 판수에게 어느 날, 사형수로부터 의문의 편지 한 통이 도착한다. 세간을 뒤흔든 인천의 재벌 대해제철 며느리 살인사건의 범인 순태는 자신의 억울함을 주장하고, 사건 브로커 필재는 점점 커지는 사건의 배후가 있음을 직감한다. 권력과 돈으로 살인까지 덮어버린 재벌가의 만행을 밝히기 위해 브로커 필재와 변호사 판수 아재콤비가 답답한 속을 뻥! 뚫어줄 특.별.수.사를 시작한다!\n",
      "Comedy,Drama,Romance\n",
      "작가인 멜빈 유달(잭 니콜슨)은 결벽증과 편집증에 시달리는 독설가다. 그는 거리의 보도 블럭 선을 밟지 않고 걸으며, 늘 같은 식당, 같은 자리에서 늘 같은 음식을, 자신이 갖고 다니는 숟가락으로 먹는다. 유달은 웨이트리스인 캐롤(헬렌 헌트)에게 관심이 있지만, 그녀는 그에게 냉담하기만 하다. 하지만 유달이 천식을 앓는 그녀의 아들에게 의사를 소개시켜주는 등의 친절을 보이자 캐롤도 점차 마음을 연다. 한편 유달의 옆집에 사는 동성연애자인 화가 사이먼(그렉 키니어)은 누드 모델 일당에게 강도를 당해 엉망이 된다. 때문에 부득이하게 유달의 도움을 받게 되는데...\n",
      "Comedy,Drama,Romance\n",
      "여자들은 원하고, 남자들은 궁금해 하는 그녀들의 짜릿한 연애, 솔직한 섹스, 완벽한 스타일의 모든 것! 당신을 황홀하게 할 그녀들이 온다!  뉴욕을 대표하는 잘나가는 그녀들 캐리, 사만다, 샬롯, 미란다! 남부러울 것 없는 완벽한 직업, 가던 사람도 뒤돌아보게 만드는 화려한 스타일로 뉴욕을 사로잡은 그녀들에게도 고민은 있다! 그건 바로 ‘사랑’. 뉴욕을 대표하는 싱글녀이자 유명 칼럼니스트인 ‘캐리’는 오랜 연인인 ‘미스터 빅’과의 완벽한 사랑을 꿈꾸고, 10살 연하의 배우와 불꽃 같은 사랑에 빠진 ‘사만다’는 그를 따라 할리우드로 떠나지만 자유로운 섹스와 뉴욕, 그리고 우정에 목말라한다.  쿨하고 이지적인 변호사 ‘미란다’는 평화롭기만 했던 결혼 생활에 뜻밖의 위기를 맞이하고, 남부러울 것 없는 결혼생활을 하고 있지만 아이를 가질 수 없어 고민하던 ‘샬롯’에게는 반가운 소식이 찾아오는데! 화려한 도시 뉴욕에서 영원한 해피엔딩을 꿈꾸는 그녀들. 하지만 인생에는 항상 반전이 있기 마련! 해피엔딩을 꿈꾸는 그녀들의 섹스보다 솔직하고 연애보다 짜릿한 사랑이 시작된다!\n",
      "Comedy,Crime,Drama\n",
      "샘솟는 사업 아이디어와 타고난 말빨의 압구정 토박이 대국은 한때 잘나가던 실력 TOP 성형외과 의사 지우를 만나게 된다. 재기를 꿈꾸는 그의 욕심과 잠재력을 한눈에 알아본 대국은 일생일대의 사업 수완을 발휘할 때가 왔음을 본능적으로 직감한다. 대국은 남다른 추진력으로 지우의 실력, 압구정 인싸 미정의 정보력, 압구정 큰 손 태천의 자본, 그리고 압구정 황금줄 규옥의 인맥을 한데 모아 압구정을 대표하는 성형외과를 넘어, 아시아를 대표하는 뷰.티.도.시.를 꿈꾸는데…\n",
      "Comedy,Drama,Romance\n",
      "샘 크레그(스펜서 트레이시)는 뉴욕 스포츠 기자다. 해외통신원 테스 하딩(캐서린 헵번)이 기고한 스포츠 무일함에 대한 논평에 분노를 느낀 샘은 반론기사를 실는다. 이 기사에 다시 테스가 반론기사를 실으면서 두사람은 만나게 되는 날까지 반론에 반론이 계속된다. 마침내 두사람은 만나게 되고 샘은 테스를 야구장으로 데리고 가면서 두사람의 논쟁은 끝나지만.. 두사람은 사랑에 빠지게 되면서 결혼하기에 이른다. 그러나 그들의 행복한 결혼 생활은 그들의 서로 다른 라이프 스타일로 인해 위기에 처하고 일에 중독된 테스를 견디다 못한 샘은 이별을 고하고 시골로 떠난다. 홀로된 테스는 허전함과 외로움에 느낀다. 여성운동가인 엘렌이 아버지와 결혼하게 되면서 엘런으로부터 모든 것을 이루웠지만 늘 외로웠다는 그녀의 말을 듣게 되면서 테스는 결혼에 대하여 진지하게 다시 생각하게 된다. 결국 테스는 샘을 찾아가고.. 생활이 바뀌지 않는한 서로에게 불행할 것이라며 거절하는 샘에게 아내로서 노력하겠으니 다시 시작하자고 하는데..\n",
      "Comedy,Drama,Romance\n",
      "해 달라는 대로 다 해주는데 100일도 못 가 항상 여자친구에게 차이는 초등학교 교사 준수. 그에게 여자의 마음은 영원히 풀리지 않는 숙제다. 그런 준수에게는 특별한 썸녀가 있다. 바로 요즘 가장 인기 있는 기상캐스터 현우. 매일 밥 먹고 영화보고 데려다 주고 손도 잡고 위급할 때마다 도와주고 오피스텔 비번까지 아는 사이지만 애인은 아닌, 술 먹자고 불러내면 다른 남자 때문에 우는 그녀. 준수의 어린 시절 고백 따위는 묻어두는 쿨한…. 18년(!) 친구다.  현우는 임자 있는 회사 선배부터 적극적인 연하남까지 얽히고 설킨 남자들이 넘쳐나고, 그녀의 썸 뒷바라지나 해야 하는 준수는 더 이상 참을 수가 없는데…\n",
      "Comedy,Drama,Romance\n",
      "아름다운 캐리어 우먼이지만 불감증을 가진 아내와 그녀를 만족시켜주지 못하는 것에 불만이 쌓인 고등학교 교사 남편이 서로 별거를 하게 되면서 각자 또 다른 사랑에게 눈뜨게 된다.\n",
      "Comedy,Drama,Romance\n",
      "동성애자인 조지(폴 루드)는 대학교수 졸리와 동거를 하고 있다. 학교 선생님인 조지는 학예회가 있던 날, 콘스탄스의 파티에서 니나(제니퍼 애니스턴)를 알게 되고 졸리에게 결별 당한 후, 니나의 집에서 함께 생활하게 된다. 복지관 상담원인 니나는 남자 친구인 빈스와의 동거보다는 게이인 조지와의 생활에서 더 편안함과 안정을 느끼고 둘은 친구처럼 가까워진다. 그러던 중 빈스의 아이를 임신하게 된 니나는 출산 후 아이를 빈스가 아닌 조지와 키우고 싶어한다. 니나는 조지에게 부부가 아닌 친구로서 아이의 양육을 도와달라고 부탁한다.\n",
      "Comedy,Drama,Romance\n",
      "어느 밤, 전철에서 술에 취한 그녀를 지켜보던 견우. 그런데 그녀가 옆에 있던 아저씨의 머리에 구토를 해 전철은 아수라장이 되고, 급기야 그녀는 견우를 전 남자친구로 착각하는데...\n",
      "Comedy,Drama\n",
      "어머니는 제각각 이지만 그 딴 건 애저녁에 관심 없는 동갑내기 형제가 있습니다. 이들 중 장남은 퀵서비스맨 963입니다. 괜히 우울한 척, 센치한 척 후까시 팍팍 부리는 고독한 라이더죠. 둘째 개코는 발라당 까져서는 애비를 우습게 여기지만, 그래도 젤 효잡니다. 늘그막의 적적함을 눈치 빠르게 알아주거든요. 아버지 장수로 씨는 한때 최고로 많이 퍼뜨려졌던 씨(?)입니다. 아들 점지를 위해 찾아온 여인네들마다 씨를 나누어 주어 한 이름 날렸던... 다 한 때 얘깁죠. 여기에 뒤늦게 합류한 아들이 있습니다. 셋째라고 하기엔 좀 뭐시기 하지만 가장 늦게 이 집의 멤버가 된 죄로 셋째가 되어버린 아주 뭐시기한 건달, 뭐시기. 철거깡패인 그는 부수고 때리러 온 황학동에서 아버지와 배다른 형제들을 만납니다. 그리고 이렇게 발랄한(?) 집안에 한 여자가 나타납니다.\n",
      "Comedy,Drama,Fantasy\n",
      "nan\n",
      "Comedy,Drama,Romance\n",
      "이슬람 집안의 알림은 캐나다 가족과 떨어져 영국에서 매력적인 자일스와 동거하는 소심한 게이 청년이다. 그에게 정신적 지주인 캐리 그랜트(카일 맥라클란)는 항상 알림에게 충고를 하는 든든한 조언자이다. 어느날 조카의 결혼식에서 문득 알림의 결혼을 서둘러야겠다고 마음먹은 엄마의 방문에 알림과 자일스의 생활은 정신없이 꼬이기 시작하는데...\n",
      "Comedy,Drama,Romance\n",
      "옆집에 사는 남자를 오랫동안 짝사랑해온 라켈. 가족의 반대에도 불구하고 그 남자 역시 라켈에게 마음을 열기 시작하자, 그녀의 감정도 커져간다.\n",
      "Comedy,Drama,Romance\n",
      "nan\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# 유저 임베딩 생성 함수\n",
    "def create_new_user_embedding(movie_features, interacted_movie_indices):\n",
    "    new_user_embedding = movie_features[interacted_movie_indices].mean(dim=0)\n",
    "    # print(\"new user embedding shape:\", new_user_embedding.shape)\n",
    "    # print(\"new user embedding:\", new_user_embedding)\n",
    "    return new_user_embedding\n",
    "\n",
    "# 새로운 유저에 대한 영화 추천\n",
    "def recommend_movies_for_new_user(link_predictor, node_embeddings, edge_index, num_users = 1, num_movies = 9525, num_recommendations=5):\n",
    "    movie_indices = torch.arange(num_users, num_users + num_movies) # 영화 인덱스 생성 (유저 수만큼 offset)\n",
    "    \n",
    "    # user-movie pairs 생성\n",
    "    user_movie_pairs = torch.stack([torch.zeros(num_movies, dtype=torch.long), movie_indices], dim=0)\n",
    "\n",
    "    # 기존 유저가 본 영화 제외\n",
    "    already_seen_movies = edge_index[1] - num_users\n",
    "    mask = torch.ones(num_movies, dtype=torch.bool)\n",
    "    mask[already_seen_movies] = False\n",
    "    user_movie_pairs = user_movie_pairs[:, mask]\n",
    "    \n",
    "    # user-movie pairs의 score 계산\n",
    "    scores = link_predictor(node_embeddings, user_movie_pairs)\n",
    "    \n",
    "    # top N 추천\n",
    "    _, top_indices = torch.topk(scores.squeeze(), num_recommendations)\n",
    "    top_movie_indices = user_movie_pairs[1][top_indices] - num_users # 유저 수만큼 offset 재조정\n",
    "    \n",
    "    return top_movie_indices\n",
    "\n",
    "\n",
    "# 영화 features\n",
    "movie_features = torch.from_numpy(np.load(\"final_features_without_directors_0518.npy\")).float()\n",
    "\n",
    "# 새로운 유저가 6076, 9519 영화를 시청했다고 가정\n",
    "# new_user_interacted_movies = [6076, 9519] # 점퍼, 메트로폴리스\n",
    "# new_user_interacted_movies = [4887, 5839] # 7번 방의 선물, 세 얼간이\n",
    "new_user_interacted_movies = [6, 10, 14] # Citizen of a Kind, It's Okay!, Deurim (코미디들)\n",
    "new_user_embedding = create_new_user_embedding(movie_features, new_user_interacted_movies)\n",
    "\n",
    "new_x = torch.cat([new_user_embedding.view(1, -1), movie_features], dim=0)\n",
    "num_users = 1\n",
    "\n",
    "# 유저 - 영화 간 상호작용 edge index로 변환\n",
    "user_indices = [i for i in range(num_users)]\n",
    "movie_indices = [i + num_users for i in new_user_interacted_movies]\n",
    "\n",
    "edge_index = torch.tensor([user_indices * len(movie_indices), movie_indices], dtype=torch.long)\n",
    "\n",
    "node_embeddings = gcn_model(new_x, edge_index)\n",
    "\n",
    "# 새로운 유저에 대한 추천 수행\n",
    "num_recommendations = 20\n",
    "top_movies_for_new_user = recommend_movies_for_new_user(\n",
    "    link_predictor=link_predictor, \n",
    "    node_embeddings=node_embeddings, \n",
    "    edge_index=edge_index,\n",
    "    num_recommendations=num_recommendations)\n",
    "print(f\"Top {num_recommendations} recommended movies for the new user: {top_movies_for_new_user}\")\n",
    "for idx in top_movies_for_new_user:\n",
    "    print(final_metadata.iloc[int(idx)].genres)\n",
    "    print(movie_metadata.iloc[int(idx)].overview)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Consider Genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>12654</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9521</th>\n",
       "      <td>tt0015064</td>\n",
       "      <td>The Last Laugh</td>\n",
       "      <td>Der letzte Mann</td>\n",
       "      <td>1924</td>\n",
       "      <td>88</td>\n",
       "      <td>Drama</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15105</td>\n",
       "      <td>nm0003638</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029271</td>\n",
       "      <td>-0.052846</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>0.051352</td>\n",
       "      <td>-0.038684</td>\n",
       "      <td>-0.013877</td>\n",
       "      <td>0.074433</td>\n",
       "      <td>-0.020061</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>0.026134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9522</th>\n",
       "      <td>tt0014624</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>A Woman of Paris: A Drama of Fate</td>\n",
       "      <td>1923</td>\n",
       "      <td>82</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6104</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018064</td>\n",
       "      <td>-0.050176</td>\n",
       "      <td>-0.045593</td>\n",
       "      <td>0.036943</td>\n",
       "      <td>-0.046362</td>\n",
       "      <td>-0.033189</td>\n",
       "      <td>-0.061279</td>\n",
       "      <td>-0.036766</td>\n",
       "      <td>0.073398</td>\n",
       "      <td>-0.105024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9523</th>\n",
       "      <td>tt0012806</td>\n",
       "      <td>Four Around the Woman</td>\n",
       "      <td>Vier um die Frau</td>\n",
       "      <td>1921</td>\n",
       "      <td>52</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.9</td>\n",
       "      <td>581</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047176</td>\n",
       "      <td>-0.100745</td>\n",
       "      <td>0.056739</td>\n",
       "      <td>0.063528</td>\n",
       "      <td>-0.031887</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.002628</td>\n",
       "      <td>-0.041470</td>\n",
       "      <td>0.026425</td>\n",
       "      <td>0.023838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9524</th>\n",
       "      <td>tt0011841</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>Way Down East</td>\n",
       "      <td>1920</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama,Romance</td>\n",
       "      <td>7.3</td>\n",
       "      <td>5863</td>\n",
       "      <td>nm0000428</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026308</td>\n",
       "      <td>-0.031079</td>\n",
       "      <td>0.015309</td>\n",
       "      <td>0.108602</td>\n",
       "      <td>-0.053923</td>\n",
       "      <td>0.095502</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>-0.005393</td>\n",
       "      <td>-0.005323</td>\n",
       "      <td>-0.025500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9525 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst                       primaryTitle  \\\n",
       "0     tt31015344                 A Traveler's Needs   \n",
       "1     tt30911335                           Dog Days   \n",
       "2      tt9682428                         Night Swim   \n",
       "3     tt27802490                             Exhuma   \n",
       "4     tt27811040            The Roundup: Punishment   \n",
       "...          ...                                ...   \n",
       "9520   tt0017409                   So This Is Paris   \n",
       "9521   tt0015064                     The Last Laugh   \n",
       "9522   tt0014624  A Woman of Paris: A Drama of Fate   \n",
       "9523   tt0012806              Four Around the Woman   \n",
       "9524   tt0011841                      Way Down East   \n",
       "\n",
       "                          originalTitle  startYear  runtimeMinutes  \\\n",
       "0                    Yeohaengjaui Pilyo       2024              90   \n",
       "1                           Dogeudeijeu       2024             120   \n",
       "2                            Night Swim       2024              98   \n",
       "3                                 Pamyo       2024             134   \n",
       "4                          Beomjoedosi4       2024             109   \n",
       "...                                 ...        ...             ...   \n",
       "9520                   So This Is Paris       1926              60   \n",
       "9521                    Der letzte Mann       1924              88   \n",
       "9522  A Woman of Paris: A Drama of Fate       1923              82   \n",
       "9523                   Vier um die Frau       1921              52   \n",
       "9524                      Way Down East       1920             145   \n",
       "\n",
       "                       genres  averageRating  numVotes   directors  ordering  \\\n",
       "0                       Drama            6.5        75   nm0393254         1   \n",
       "1                       Drama            7.8        31  nm15730187         1   \n",
       "2             Horror,Thriller            4.7     12654   nm3241399         1   \n",
       "3     Horror,Mystery,Thriller            7.4       495   nm6940206         1   \n",
       "4       Action,Crime,Thriller            8.8       101   nm2441168        10   \n",
       "...                       ...            ...       ...         ...       ...   \n",
       "9520                   Comedy            7.1       746   nm0523932         1   \n",
       "9521                    Drama            8.0     15105   nm0003638         1   \n",
       "9522            Drama,Romance            6.9      6104   nm0000122        10   \n",
       "9523                    Drama            5.9       581   nm0000485         1   \n",
       "9524            Drama,Romance            7.3      5863   nm0000428         1   \n",
       "\n",
       "      ... embedding_374 embedding_375  embedding_376  embedding_377  \\\n",
       "0     ...      0.016458     -0.023006      -0.050298       0.037739   \n",
       "1     ...     -0.034701     -0.008065      -0.024117      -0.003312   \n",
       "2     ...      0.003738     -0.049932      -0.121888      -0.054388   \n",
       "3     ...      0.051392     -0.002096       0.044035       0.059909   \n",
       "4     ...      0.041042     -0.039577       0.034051       0.041895   \n",
       "...   ...           ...           ...            ...            ...   \n",
       "9520  ...     -0.052198     -0.056215      -0.065513       0.068392   \n",
       "9521  ...      0.029271     -0.052846       0.032112       0.051352   \n",
       "9522  ...      0.018064     -0.050176      -0.045593       0.036943   \n",
       "9523  ...     -0.047176     -0.100745       0.056739       0.063528   \n",
       "9524  ...      0.026308     -0.031079       0.015309       0.108602   \n",
       "\n",
       "      embedding_378  embedding_379  embedding_380  embedding_381  \\\n",
       "0         -0.076090      -0.010432      -0.058701       0.017649   \n",
       "1          0.038821      -0.030186       0.019926       0.074339   \n",
       "2         -0.020564       0.050116       0.021484       0.052849   \n",
       "3         -0.044593      -0.032423       0.081002       0.020807   \n",
       "4         -0.132000      -0.051895       0.089292      -0.132800   \n",
       "...             ...            ...            ...            ...   \n",
       "9520       0.040504      -0.013506      -0.068042       0.001189   \n",
       "9521      -0.038684      -0.013877       0.074433      -0.020061   \n",
       "9522      -0.046362      -0.033189      -0.061279      -0.036766   \n",
       "9523      -0.031887      -0.028223      -0.002628      -0.041470   \n",
       "9524      -0.053923       0.095502       0.000965      -0.005393   \n",
       "\n",
       "      embedding_382  embedding_383  \n",
       "0          0.035267      -0.023228  \n",
       "1         -0.018989       0.055851  \n",
       "2          0.035944       0.025606  \n",
       "3          0.021268       0.008938  \n",
       "4         -0.011520      -0.006363  \n",
       "...             ...            ...  \n",
       "9520      -0.021429      -0.103460  \n",
       "9521      -0.008468       0.026134  \n",
       "9522       0.073398      -0.105024  \n",
       "9523       0.026425       0.023838  \n",
       "9524      -0.005323      -0.025500  \n",
       "\n",
       "[9525 rows x 396 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df_for_genres_based_recommend = pd.read_excel(\"final_metadata_with_overview_embeddings_ver5_0511.xlsx\")\n",
    "df_for_genres_based_recommend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'Drama'},\n",
       " 1: {'Drama'},\n",
       " 2: {'Horror', 'Thriller'},\n",
       " 3: {'Horror', 'Mystery', 'Thriller'},\n",
       " 4: {'Action', 'Crime', 'Thriller'},\n",
       " 5: {'Crime', 'Mystery', 'Thriller'},\n",
       " 6: {'Action', 'Comedy', 'Drama'},\n",
       " 7: {'Action', 'Fantasy', 'Sci-Fi'},\n",
       " 8: {'Drama', 'Romance'},\n",
       " 9: {'Action', 'Adventure', 'Drama'},\n",
       " 10: {'Comedy', 'Family'},\n",
       " 11: {'Drama', 'Romance'},\n",
       " 12: {'Drama', 'Romance'},\n",
       " 13: {'Horror'},\n",
       " 14: {'Comedy', 'Drama', 'Sport'},\n",
       " 15: {'Comedy', 'Drama'},\n",
       " 16: {'Horror', 'Mystery', 'Thriller'},\n",
       " 17: {'Action', 'Drama'},\n",
       " 18: {'Comedy', 'Romance'},\n",
       " 19: {'Crime', 'Fantasy', 'Horror'},\n",
       " 20: {'Horror', 'Mystery'},\n",
       " 21: {'Drama', 'Mystery'},\n",
       " 22: {'Crime', 'Drama', 'Mystery'},\n",
       " 23: {'Action', 'Adventure', 'Drama'},\n",
       " 24: {'Drama'},\n",
       " 25: {'Comedy', 'Romance', 'Sci-Fi'},\n",
       " 26: {'Drama'},\n",
       " 27: {'Documentary', 'Drama'},\n",
       " 28: {'Comedy'},\n",
       " 29: {'Drama'},\n",
       " 30: {'Drama'},\n",
       " 31: {'Horror', 'Mystery', 'Thriller'},\n",
       " 32: {'Action', 'Biography', 'History'},\n",
       " 33: {'Drama'},\n",
       " 34: {'Action', 'Animation', 'Comedy'},\n",
       " 35: {'Drama'},\n",
       " 36: {'Action', 'Comedy'},\n",
       " 37: {'Drama'},\n",
       " 38: {'Drama'},\n",
       " 39: {'Documentary'},\n",
       " 40: {'Comedy', 'Romance'},\n",
       " 41: {'Drama', 'Sport'},\n",
       " 42: {'Horror', 'Mystery'},\n",
       " 43: {'Drama', 'Romance'},\n",
       " 44: {'Romance'},\n",
       " 45: {'Drama'},\n",
       " 46: {'Comedy', 'Romance'},\n",
       " 47: {'Drama'},\n",
       " 48: {'Romance', 'Thriller'},\n",
       " 49: {'Adventure', 'Animation', 'Comedy'},\n",
       " 50: {'Crime', 'Drama', 'Thriller'},\n",
       " 51: {'Music'},\n",
       " 52: {'Drama'},\n",
       " 53: {'Drama', 'Thriller'},\n",
       " 54: {'Documentary'},\n",
       " 55: {'Action', 'Crime', 'Drama'},\n",
       " 56: {'Documentary'},\n",
       " 57: {'Animation'},\n",
       " 58: {'Comedy', 'Drama', 'Fantasy'},\n",
       " 59: {'Action', 'Adventure', 'Drama'},\n",
       " 60: {'Comedy', 'Drama', 'Family'},\n",
       " 61: {'Action', 'Crime', 'Thriller'},\n",
       " 62: {'Drama'},\n",
       " 63: {'Drama'},\n",
       " 64: {'Drama'},\n",
       " 65: {'Action', 'Thriller'},\n",
       " 66: {'Drama', 'Sport'},\n",
       " 67: {'Romance'},\n",
       " 68: {'Action', 'Crime', 'History'},\n",
       " 69: {'Comedy', 'Drama'},\n",
       " 70: {'Thriller'},\n",
       " 71: {'Action', 'Horror', 'Sci-Fi'},\n",
       " 72: {'Crime', 'Drama', 'Mystery'},\n",
       " 73: {'Documentary'},\n",
       " 74: {'Drama'},\n",
       " 75: {'Music'},\n",
       " 76: {'Adventure', 'Animation', 'Family'},\n",
       " 77: {'Documentary', 'Music'},\n",
       " 78: {'Action', 'Crime'},\n",
       " 79: {'Documentary', 'Music'},\n",
       " 80: {'Comedy'},\n",
       " 81: {'Drama', 'Romance'},\n",
       " 82: {'Drama', 'Romance'},\n",
       " 83: {'Drama'},\n",
       " 84: {'Drama'},\n",
       " 85: {'Documentary', 'Music'},\n",
       " 86: {'Adventure', 'Animation'},\n",
       " 87: {'Action', 'Drama', 'Fantasy'},\n",
       " 88: {'Comedy', 'Drama'},\n",
       " 89: {'Crime', 'Drama'},\n",
       " 90: {'Action', 'Drama', 'Thriller'},\n",
       " 91: {'Drama'},\n",
       " 92: {'Music'},\n",
       " 93: {'Action'},\n",
       " 94: {'Comedy', 'Music', 'Thriller'},\n",
       " 95: {'Drama'},\n",
       " 96: {'Comedy', 'Romance'},\n",
       " 97: {'Drama'},\n",
       " 98: {'Thriller'},\n",
       " 99: {'Action', 'Drama', 'History'},\n",
       " 100: {'Comedy', 'Horror'},\n",
       " 101: {'Action', 'Adventure', 'Drama'},\n",
       " 102: {'Action', 'Drama'},\n",
       " 103: {'Action', 'Comedy', 'Drama'},\n",
       " 104: {'Crime', 'Thriller'},\n",
       " 105: {'Drama', 'Romance'},\n",
       " 106: {'Comedy', 'Drama', 'History'},\n",
       " 107: {'Horror', 'Mystery', 'Thriller'},\n",
       " 108: {'Action', 'Adventure', 'Drama'},\n",
       " 109: {'Action', 'Crime', 'Thriller'},\n",
       " 110: {'Drama', 'Romance'},\n",
       " 111: {'Action', 'Thriller'},\n",
       " 112: {'Biography', 'Drama', 'Sport'},\n",
       " 113: {'Horror', 'Mystery', 'Thriller'},\n",
       " 114: {'Comedy', 'Horror', 'Mystery'},\n",
       " 115: {'Action', 'Comedy', 'Thriller'},\n",
       " 116: {'Biography', 'Drama', 'Sport'},\n",
       " 117: {'Music'},\n",
       " 118: {'Fantasy', 'Horror'},\n",
       " 119: {'Drama'},\n",
       " 120: {'Action', 'Adventure'},\n",
       " 121: {'Horror'},\n",
       " 122: {'Comedy', 'Drama', 'Thriller'},\n",
       " 123: {'Drama'},\n",
       " 124: {'Action', 'Drama', 'Thriller'},\n",
       " 125: {'Drama'},\n",
       " 126: {'Comedy', 'Documentary'},\n",
       " 127: {'Action', 'Crime', 'Drama'},\n",
       " 128: {'Animation', 'Music'},\n",
       " 129: {'Drama', 'Thriller'},\n",
       " 130: {'Action', 'Horror', 'Sci-Fi'},\n",
       " 131: {'Biography', 'Documentary', 'Music'},\n",
       " 132: {'Crime', 'Drama', 'Thriller'},\n",
       " 133: {'Action', 'Crime', 'Thriller'},\n",
       " 134: {'Adventure', 'Family'},\n",
       " 135: {'Action', 'Comedy', 'Drama'},\n",
       " 136: {'Drama', 'Fantasy', 'Romance'},\n",
       " 137: {'Documentary'},\n",
       " 138: {'Drama', 'Romance'},\n",
       " 139: {'Horror', 'Thriller'},\n",
       " 140: {'Action', 'Horror', 'Sci-Fi'},\n",
       " 141: {'Drama'},\n",
       " 142: {'Drama', 'Mystery', 'Thriller'},\n",
       " 143: {'Drama', 'Romance'},\n",
       " 144: {'Action', 'Drama', 'Thriller'},\n",
       " 145: {'Comedy'},\n",
       " 146: {'Documentary'},\n",
       " 147: {'Crime', 'Drama', 'Thriller'},\n",
       " 148: {'Drama'},\n",
       " 149: {'Adventure', 'Animation', 'Comedy'},\n",
       " 150: {'Action', 'Crime', 'Thriller'},\n",
       " 151: {'Comedy', 'Romance'},\n",
       " 152: {'Drama', 'Mystery', 'Thriller'},\n",
       " 153: {'Thriller'},\n",
       " 154: {'Biography', 'Drama'},\n",
       " 155: {'Comedy', 'Romance'},\n",
       " 156: {'Action', 'Sci-Fi', 'Thriller'},\n",
       " 157: {'Adventure', 'Drama'},\n",
       " 158: {'Comedy'},\n",
       " 159: {'Action', 'Animation', 'Crime'},\n",
       " 160: {'Documentary', 'Family'},\n",
       " 161: {'Horror', 'Thriller'},\n",
       " 162: {'Thriller'},\n",
       " 163: {'Adventure', 'Sci-Fi'},\n",
       " 164: {'Mystery', 'Thriller'},\n",
       " 165: {'Horror', 'Thriller'},\n",
       " 166: {'Action', 'Drama'},\n",
       " 167: {'Action', 'Horror', 'Thriller'},\n",
       " 168: {'Drama'},\n",
       " 169: {'Drama'},\n",
       " 170: {'Action', 'Adventure', 'Comedy'},\n",
       " 171: {'Drama', 'History'},\n",
       " 172: {'Drama'},\n",
       " 173: {'Crime', 'Drama', 'Mystery'},\n",
       " 174: {'Action', 'Adventure', 'Fantasy'},\n",
       " 175: {'Action', 'Drama', 'Thriller'},\n",
       " 176: {'Comedy', 'Horror'},\n",
       " 177: {'Animation', 'Family'},\n",
       " 178: {'Comedy', 'Romance'},\n",
       " 179: {'Comedy', 'Horror', 'Mystery'},\n",
       " 180: {'Drama', 'History'},\n",
       " 181: {'Action', 'Drama'},\n",
       " 182: {'Action', 'Crime', 'Drama'},\n",
       " 183: {'Comedy', 'Horror'},\n",
       " 184: {'Horror', 'Thriller'},\n",
       " 185: {'Drama'},\n",
       " 186: {'Drama'},\n",
       " 187: {'Comedy', 'Romance'},\n",
       " 188: {'Animation', 'Comedy', 'Drama'},\n",
       " 189: {'Action', 'Horror', 'Thriller'},\n",
       " 190: {'Drama', 'Horror', 'Sci-Fi'},\n",
       " 191: {'Documentary'},\n",
       " 192: {'Biography', 'Documentary', 'History'},\n",
       " 193: {'Drama', 'Thriller'},\n",
       " 194: {'Comedy', 'Romance'},\n",
       " 195: {'Action', 'Crime', 'Drama'},\n",
       " 196: {'Comedy'},\n",
       " 197: {'Comedy', 'Horror'},\n",
       " 198: {'Documentary'},\n",
       " 199: {'Comedy', 'Drama', 'Music'},\n",
       " 200: {'Comedy'},\n",
       " 201: {'Comedy', 'Mystery', 'Romance'},\n",
       " 202: {'Drama'},\n",
       " 203: {'Drama', 'Family'},\n",
       " 204: {'Action', 'Comedy', 'Drama'},\n",
       " 205: {'Drama', 'Mystery'},\n",
       " 206: {'Drama', 'Horror', 'Music'},\n",
       " 207: {'Drama'},\n",
       " 208: {'Drama'},\n",
       " 209: {'Thriller'},\n",
       " 210: {'Drama'},\n",
       " 211: {'Drama', 'War'},\n",
       " 212: {'Documentary', 'History'},\n",
       " 213: {'Documentary', 'Music'},\n",
       " 214: {'Comedy', 'Romance'},\n",
       " 215: {'Documentary'},\n",
       " 216: {'Thriller'},\n",
       " 217: {'Action', 'Crime', 'Thriller'},\n",
       " 218: {'Drama', 'Thriller'},\n",
       " 219: {'Drama', 'Romance', 'Sport'},\n",
       " 220: {'Crime', 'Documentary'},\n",
       " 221: {'Action'},\n",
       " 222: {'Crime', 'Documentary'},\n",
       " 223: {'Horror', 'Thriller'},\n",
       " 224: {'Documentary'},\n",
       " 225: {'Action', 'Thriller'},\n",
       " 226: {'Action', 'Animation', 'Fantasy'},\n",
       " 227: {'Adventure', 'Animation', 'Comedy'},\n",
       " 228: {'Documentary'},\n",
       " 229: {'Thriller'},\n",
       " 230: {'Comedy', 'Romance'},\n",
       " 231: {'Comedy', 'Horror'},\n",
       " 232: {'Action', 'Adventure', 'Fantasy'},\n",
       " 233: {'Drama'},\n",
       " 234: {'Drama'},\n",
       " 235: {'Drama', 'Sci-Fi'},\n",
       " 236: {'Drama'},\n",
       " 237: {'Comedy', 'Crime', 'Drama'},\n",
       " 238: {'Animation', 'Comedy', 'Family'},\n",
       " 239: {'Action', 'Comedy', 'Family'},\n",
       " 240: {'Crime', 'Drama', 'Thriller'},\n",
       " 241: {'Action', 'Crime', 'Drama'},\n",
       " 242: {'Biography', 'History'},\n",
       " 243: {'Drama', 'Romance'},\n",
       " 244: {'Drama', 'Thriller'},\n",
       " 245: {'Horror', 'Thriller'},\n",
       " 246: {'Comedy', 'Drama', 'Horror'},\n",
       " 247: {'Horror', 'Mystery'},\n",
       " 248: {'Drama', 'Romance'},\n",
       " 249: {'Comedy'},\n",
       " 250: {'Drama', 'War'},\n",
       " 251: {'Drama'},\n",
       " 252: {'Action', 'Drama', 'Romance'},\n",
       " 253: {'Drama', 'Romance'},\n",
       " 254: {'Horror', 'Mystery'},\n",
       " 255: {'Drama', 'Mystery'},\n",
       " 256: {'Comedy', 'Romance'},\n",
       " 257: {'Biography', 'Documentary'},\n",
       " 258: {'Drama', 'Horror', 'Thriller'},\n",
       " 259: {'Drama'},\n",
       " 260: {'Drama', 'War'},\n",
       " 261: {'Action', 'Adventure', 'Fantasy'},\n",
       " 262: {'Action', 'Adventure', 'Fantasy'},\n",
       " 263: {'Documentary'},\n",
       " 264: {'Comedy', 'Romance'},\n",
       " 265: {'Documentary'},\n",
       " 266: {'Action', 'Crime', 'Drama'},\n",
       " 267: {'Crime', 'Mystery'},\n",
       " 268: {'Drama', 'Horror'},\n",
       " 269: {'Comedy'},\n",
       " 270: {'Comedy', 'Horror'},\n",
       " 271: {'Comedy'},\n",
       " 272: {'Drama', 'Thriller'},\n",
       " 273: {'Drama', 'Thriller'},\n",
       " 274: {'Comedy', 'Crime', 'Drama'},\n",
       " 275: {'Crime', 'Thriller'},\n",
       " 276: {'Comedy', 'Drama', 'Family'},\n",
       " 277: {'Drama'},\n",
       " 278: {'Action', 'Crime', 'Drama'},\n",
       " 279: {'Documentary'},\n",
       " 280: {'Drama'},\n",
       " 281: {'Drama'},\n",
       " 282: {'Drama', 'Mystery', 'Romance'},\n",
       " 283: {'Crime', 'Drama'},\n",
       " 284: {'Documentary'},\n",
       " 285: {'Comedy', 'Romance'},\n",
       " 286: {'Thriller'},\n",
       " 287: {'Mystery', 'Thriller'},\n",
       " 288: {'Animation', 'Drama', 'Romance'},\n",
       " 289: {'Comedy', 'Romance'},\n",
       " 290: {'Drama', 'Thriller'},\n",
       " 291: {'Thriller'},\n",
       " 292: {'Action', 'Drama', 'Thriller'},\n",
       " 293: {'Action', 'Horror', 'Thriller'},\n",
       " 294: {'Action', 'Thriller'},\n",
       " 295: {'Drama', 'Mystery', 'Sci-Fi'},\n",
       " 296: {'Comedy', 'Drama', 'Thriller'},\n",
       " 297: {'Comedy', 'Romance'},\n",
       " 298: {'Action', 'Animation', 'Drama'},\n",
       " 299: {'Mystery', 'Thriller'},\n",
       " 300: {'Action', 'Horror', 'Thriller'},\n",
       " 301: {'Action', 'Crime', 'Thriller'},\n",
       " 302: {'Adventure', 'Animation', 'Drama'},\n",
       " 303: {'Drama'},\n",
       " 304: {'Action', 'Crime', 'Thriller'},\n",
       " 305: {'Documentary'},\n",
       " 306: {'Drama', 'Horror', 'Mystery'},\n",
       " 307: {'Crime', 'Drama', 'Mystery'},\n",
       " 308: {'Biography', 'Comedy', 'Drama'},\n",
       " 309: {'Horror', 'Mystery', 'Thriller'},\n",
       " 310: {'Drama', 'Music'},\n",
       " 311: {'Comedy', 'Drama', 'Romance'},\n",
       " 312: {'Action', 'Adventure', 'Animation'},\n",
       " 313: {'Action', 'Drama', 'Sci-Fi'},\n",
       " 314: {'Drama'},\n",
       " 315: {'Comedy', 'Drama'},\n",
       " 316: {'Drama', 'War'},\n",
       " 317: {'Crime', 'Drama', 'Mystery'},\n",
       " 318: {'Comedy'},\n",
       " 319: {'Comedy', 'Horror'},\n",
       " 320: {'Biography', 'Documentary'},\n",
       " 321: {'Comedy', 'Family', 'Romance'},\n",
       " 322: {'Comedy', 'Drama', 'Sci-Fi'},\n",
       " 323: {'Documentary'},\n",
       " 324: {'Action', 'Thriller', 'War'},\n",
       " 325: {'Documentary'},\n",
       " 326: {'Drama', 'Romance'},\n",
       " 327: {'Action', 'Sci-Fi'},\n",
       " 328: {'Horror'},\n",
       " 329: {'Drama'},\n",
       " 330: {'Adventure', 'Drama', 'History'},\n",
       " 331: {'Comedy', 'Horror', 'Music'},\n",
       " 332: {'Comedy'},\n",
       " 333: {'Drama', 'Thriller'},\n",
       " 334: {'Horror', 'Thriller'},\n",
       " 335: {'Drama', 'Horror', 'Mystery'},\n",
       " 336: {'Thriller'},\n",
       " 337: {'Drama'},\n",
       " 338: {'Drama', 'Mystery', 'Thriller'},\n",
       " 339: {'Comedy', 'Drama', 'Thriller'},\n",
       " 340: {'Drama', 'Romance'},\n",
       " 341: {'Comedy', 'Drama', 'Romance'},\n",
       " 342: {'Action', 'Comedy', 'Crime'},\n",
       " 343: {'Action', 'Crime', 'Thriller'},\n",
       " 344: {'Action', 'Adventure'},\n",
       " 345: {'Action', 'Crime', 'Sci-Fi'},\n",
       " 346: {'Comedy', 'Crime', 'Romance'},\n",
       " 347: {'Comedy', 'Drama', 'Romance'},\n",
       " 348: {'Action', 'Thriller'},\n",
       " 349: {'Drama'},\n",
       " 350: {'Action', 'Drama'},\n",
       " 351: {'Crime', 'Drama', 'Thriller'},\n",
       " 352: {'Horror'},\n",
       " 353: {'Drama'},\n",
       " 354: {'Action', 'Adventure', 'Crime'},\n",
       " 355: {'Animation', 'Comedy', 'Drama'},\n",
       " 356: {'Documentary', 'Music'},\n",
       " 357: {'Horror', 'Mystery', 'Thriller'},\n",
       " 358: {'Horror'},\n",
       " 359: {'Comedy', 'Family', 'Romance'},\n",
       " 360: {'Comedy', 'Drama', 'Music'},\n",
       " 361: {'Comedy', 'Drama'},\n",
       " 362: {'Animation', 'Drama', 'Romance'},\n",
       " 363: {'Comedy', 'Drama'},\n",
       " 364: {'Drama', 'Romance'},\n",
       " 365: {'Action', 'Crime', 'Thriller'},\n",
       " 366: {'Documentary'},\n",
       " 367: {'Drama', 'History', 'Thriller'},\n",
       " 368: {'Drama', 'Thriller'},\n",
       " 369: {'Documentary'},\n",
       " 370: {'Drama'},\n",
       " 371: {'Comedy', 'Drama', 'Romance'},\n",
       " 372: {'Drama', 'Horror', 'Mystery'},\n",
       " 373: {'Comedy', 'Romance'},\n",
       " 374: {'Comedy', 'Family'},\n",
       " 375: {'Documentary'},\n",
       " 376: {'Comedy', 'Horror', 'Mystery'},\n",
       " 377: {'Drama', 'Romance'},\n",
       " 378: {'Comedy', 'Romance'},\n",
       " 379: {'Action', 'Comedy', 'Crime'},\n",
       " 380: {'Comedy', 'Drama', 'Family'},\n",
       " 381: {'Comedy', 'Horror'},\n",
       " 382: {'Crime', 'Drama', 'Mystery'},\n",
       " 383: {'Action', 'Comedy', 'Crime'},\n",
       " 384: {'Action', 'Crime', 'Horror'},\n",
       " 385: {'Crime', 'Drama', 'Mystery'},\n",
       " 386: {'Adventure', 'Animation', 'Comedy'},\n",
       " 387: {'Comedy', 'Drama'},\n",
       " 388: {'Family'},\n",
       " 389: {'Crime', 'Mystery', 'Sci-Fi'},\n",
       " 390: {'Drama'},\n",
       " 391: {'Comedy', 'Drama', 'Romance'},\n",
       " 392: {'Drama', 'War'},\n",
       " 393: {'Adventure', 'Drama'},\n",
       " 394: {'Action', 'Thriller'},\n",
       " 395: {'Documentary'},\n",
       " 396: {'Biography', 'Crime', 'Drama'},\n",
       " 397: {'Horror'},\n",
       " 398: {'Comedy', 'Thriller'},\n",
       " 399: {'Horror', 'Thriller'},\n",
       " 400: {'Crime', 'Drama', 'Romance'},\n",
       " 401: {'Comedy', 'Drama', 'Romance'},\n",
       " 402: {'Horror'},\n",
       " 403: {'Action', 'Thriller'},\n",
       " 404: {'Comedy'},\n",
       " 405: {'Comedy', 'Drama'},\n",
       " 406: {'Crime', 'Drama', 'Mystery'},\n",
       " 407: {'Comedy', 'Horror'},\n",
       " 408: {'Drama', 'Horror', 'Mystery'},\n",
       " 409: {'Crime', 'Drama', 'Mystery'},\n",
       " 410: {'Drama'},\n",
       " 411: {'Comedy'},\n",
       " 412: {'Animation', 'Comedy', 'Romance'},\n",
       " 413: {'Comedy', 'Drama', 'Romance'},\n",
       " 414: {'Comedy', 'Drama'},\n",
       " 415: {'Drama'},\n",
       " 416: {'Comedy', 'Drama'},\n",
       " 417: {'Drama', 'Horror', 'Mystery'},\n",
       " 418: {'Horror'},\n",
       " 419: {'Comedy', 'Family'},\n",
       " 420: {'Adventure', 'Comedy', 'Family'},\n",
       " 421: {'Comedy', 'Horror', 'Thriller'},\n",
       " 422: {'Thriller'},\n",
       " 423: {'Comedy', 'Romance'},\n",
       " 424: {'Drama', 'Sport'},\n",
       " 425: {'Documentary'},\n",
       " 426: {'Comedy'},\n",
       " 427: {'Crime', 'Drama'},\n",
       " 428: {'Comedy'},\n",
       " 429: {'Drama'},\n",
       " 430: {'Horror'},\n",
       " 431: {'Documentary'},\n",
       " 432: {'Comedy', 'Crime', 'Music'},\n",
       " 433: {'Drama', 'Fantasy', 'Mystery'},\n",
       " 434: {'Drama'},\n",
       " 435: {'Drama'},\n",
       " 436: {'Adventure', 'Drama', 'Thriller'},\n",
       " 437: {'Drama'},\n",
       " 438: {'Drama'},\n",
       " 439: {'Comedy', 'Drama', 'Romance'},\n",
       " 440: {'Action', 'Thriller', 'War'},\n",
       " 441: {'Drama'},\n",
       " 442: {'Romance'},\n",
       " 443: {'Horror', 'Mystery', 'Thriller'},\n",
       " 444: {'Documentary'},\n",
       " 445: {'Documentary'},\n",
       " 446: {'Adventure', 'Comedy', 'Family'},\n",
       " 447: {'Drama'},\n",
       " 448: {'Action', 'Adventure', 'Animation'},\n",
       " 449: {'Action', 'Adventure', 'Animation'},\n",
       " 450: {'Drama'},\n",
       " 451: {'Drama'},\n",
       " 452: {'Thriller'},\n",
       " 453: {'Thriller'},\n",
       " 454: {'Action', 'Adventure', 'Fantasy'},\n",
       " 455: {'Comedy'},\n",
       " 456: {'Drama', 'War'},\n",
       " 457: {'Drama'},\n",
       " 458: {'Adventure', 'Drama', 'Family'},\n",
       " 459: {'Drama', 'Thriller'},\n",
       " 460: {'Drama', 'Romance'},\n",
       " 461: {'Comedy', 'Romance'},\n",
       " 462: {'Action', 'Thriller'},\n",
       " 463: {'Action', 'Thriller'},\n",
       " 464: {'Comedy'},\n",
       " 465: {'Action', 'Crime', 'Thriller'},\n",
       " 466: {'Comedy'},\n",
       " 467: {'Horror'},\n",
       " 468: {'Drama', 'History'},\n",
       " 469: {'Action', 'Thriller'},\n",
       " 470: {'Drama', 'Mystery', 'Romance'},\n",
       " 471: {'Comedy', 'Romance'},\n",
       " 472: {'Action', 'Crime', 'Drama'},\n",
       " 473: {'Crime', 'Drama'},\n",
       " 474: {'Thriller'},\n",
       " 475: {'Action', 'Drama'},\n",
       " 476: {'Action', 'Adventure', 'Drama'},\n",
       " 477: {'Comedy', 'Drama'},\n",
       " 478: {'Action', 'Adventure', 'Animation'},\n",
       " 479: {'Documentary'},\n",
       " 480: {'Drama', 'Romance'},\n",
       " 481: {'Comedy', 'Drama'},\n",
       " 482: {'Drama'},\n",
       " 483: {'Action', 'Adventure', 'Comedy'},\n",
       " 484: {'Crime', 'Drama'},\n",
       " 485: {'Music', 'Romance'},\n",
       " 486: {'Drama', 'Horror', 'Mystery'},\n",
       " 487: {'Drama'},\n",
       " 488: {'Biography', 'Drama', 'History'},\n",
       " 489: {'Thriller'},\n",
       " 490: {'Comedy'},\n",
       " 491: {'Action'},\n",
       " 492: {'Horror'},\n",
       " 493: {'Crime', 'Drama', 'Thriller'},\n",
       " 494: {'Drama', 'Horror', 'Thriller'},\n",
       " 495: {'Drama', 'Horror'},\n",
       " 496: {'Biography', 'Drama', 'Thriller'},\n",
       " 497: {'Action', 'Adventure', 'Biography'},\n",
       " 498: {'Comedy', 'Drama', 'Romance'},\n",
       " 499: {'Biography', 'Drama', 'Music'},\n",
       " 500: {'Action', 'Adventure', 'History'},\n",
       " 501: {'Drama', 'Romance'},\n",
       " 502: {'Horror', 'Mystery', 'Thriller'},\n",
       " 503: {'Drama'},\n",
       " 504: {'Action', 'Crime', 'Thriller'},\n",
       " 505: {'Comedy'},\n",
       " 506: {'Action', 'Drama', 'Fantasy'},\n",
       " 507: {'Action', 'Comedy', 'Thriller'},\n",
       " 508: {'Comedy', 'Romance', 'Sci-Fi'},\n",
       " 509: {'Adventure', 'Drama', 'Mystery'},\n",
       " 510: {'Drama', 'Horror'},\n",
       " 511: {'Comedy', 'Horror'},\n",
       " 512: {'Horror', 'Thriller'},\n",
       " 513: {'Comedy', 'Drama', 'Romance'},\n",
       " 514: {'Adventure', 'Animation', 'Comedy'},\n",
       " 515: {'Action', 'Thriller'},\n",
       " 516: {'Drama', 'Fantasy', 'Horror'},\n",
       " 517: {'Crime', 'Drama', 'Mystery'},\n",
       " 518: {'Thriller'},\n",
       " 519: {'Action', 'Drama', 'Thriller'},\n",
       " 520: {'Drama', 'Horror', 'Thriller'},\n",
       " 521: {'Drama', 'Thriller'},\n",
       " 522: {'Drama'},\n",
       " 523: {'Comedy', 'Family', 'Fantasy'},\n",
       " 524: {'Drama'},\n",
       " 525: {'Crime', 'Drama', 'Thriller'},\n",
       " 526: {'Comedy', 'Drama', 'Romance'},\n",
       " 527: {'Action', 'Comedy', 'Crime'},\n",
       " 528: {'Action', 'Adventure', 'Drama'},\n",
       " 529: {'Comedy', 'Crime', 'Drama'},\n",
       " 530: {'Horror', 'Thriller'},\n",
       " 531: {'Crime', 'Drama', 'Horror'},\n",
       " 532: {'Western'},\n",
       " 533: {'Drama', 'Mystery', 'Thriller'},\n",
       " 534: {'Action', 'Crime', 'Thriller'},\n",
       " 535: {'Thriller'},\n",
       " 536: {'Drama'},\n",
       " 537: {'Drama', 'Horror', 'Mystery'},\n",
       " 538: {'Mystery', 'Thriller'},\n",
       " 539: {'Action', 'Comedy', 'Thriller'},\n",
       " 540: {'Comedy', 'Music'},\n",
       " 541: {'Comedy', 'Drama', 'Romance'},\n",
       " 542: {'Comedy', 'Drama'},\n",
       " 543: {'Drama', 'Romance'},\n",
       " 544: {'Horror'},\n",
       " 545: {'Comedy', 'Drama'},\n",
       " 546: {'Action', 'Crime', 'Drama'},\n",
       " 547: {'Drama', 'Horror', 'Thriller'},\n",
       " 548: {'Comedy'},\n",
       " 549: {'Action', 'Crime', 'Romance'},\n",
       " 550: {'Biography', 'Drama', 'History'},\n",
       " 551: {'Drama'},\n",
       " 552: {'Comedy', 'Music', 'Mystery'},\n",
       " 553: {'Comedy'},\n",
       " 554: {'Thriller'},\n",
       " 555: {'Horror', 'Mystery', 'Thriller'},\n",
       " 556: {'Horror'},\n",
       " 557: {'Action', 'Crime', 'Drama'},\n",
       " 558: {'Crime', 'Mystery', 'Thriller'},\n",
       " 559: {'Horror', 'Thriller'},\n",
       " 560: {'Action', 'Adventure', 'Drama'},\n",
       " 561: {'Action', 'Thriller'},\n",
       " 562: {'Drama'},\n",
       " 563: {'Comedy', 'Drama', 'Fantasy'},\n",
       " 564: {'Drama', 'Romance'},\n",
       " 565: {'Action', 'Crime', 'Drama'},\n",
       " 566: {'Action', 'Crime', 'Drama'},\n",
       " 567: {'Comedy', 'Drama', 'Romance'},\n",
       " 568: {'Drama'},\n",
       " 569: {'Sci-Fi', 'Thriller'},\n",
       " 570: {'Drama'},\n",
       " 571: {'Action', 'Thriller'},\n",
       " 572: {'Drama', 'Romance'},\n",
       " 573: {'Thriller', 'War'},\n",
       " 574: {'Drama'},\n",
       " 575: {'Comedy', 'Crime', 'Drama'},\n",
       " 576: {'Action', 'Comedy', 'Thriller'},\n",
       " 577: {'Comedy', 'Drama', 'Romance'},\n",
       " 578: {'Action', 'Comedy', 'Fantasy'},\n",
       " 579: {'Comedy'},\n",
       " 580: {'Comedy', 'Drama', 'Mystery'},\n",
       " 581: {'Drama'},\n",
       " 582: {'Drama'},\n",
       " 583: {'Action', 'Adventure', 'Drama'},\n",
       " 584: {'Drama', 'Romance'},\n",
       " 585: {'Comedy', 'Drama', 'Sci-Fi'},\n",
       " 586: {'Action', 'Drama'},\n",
       " 587: {'Drama', 'Family'},\n",
       " 588: {'Comedy', 'Drama', 'Romance'},\n",
       " 589: {'Drama', 'Musical', 'Romance'},\n",
       " 590: {'Drama', 'Horror', 'Mystery'},\n",
       " 591: {'Action', 'Thriller'},\n",
       " 592: {'Action', 'Thriller'},\n",
       " 593: {'Comedy'},\n",
       " 594: {'Drama', 'Thriller'},\n",
       " 595: {'Action', 'Drama', 'Thriller'},\n",
       " 596: {'Horror'},\n",
       " 597: {'Comedy', 'Horror'},\n",
       " 598: {'Sci-Fi'},\n",
       " 599: {'Action', 'Crime', 'Thriller'},\n",
       " 600: {'Horror'},\n",
       " 601: {'Biography', 'Drama', 'History'},\n",
       " 602: {'Comedy', 'Drama', 'Family'},\n",
       " 603: {'Crime', 'Drama', 'Thriller'},\n",
       " 604: {'Romance'},\n",
       " 605: {'Comedy', 'Horror'},\n",
       " 606: {'Horror', 'Thriller'},\n",
       " 607: {'Horror', 'Mystery', 'Thriller'},\n",
       " 608: {'Comedy', 'Crime', 'Mystery'},\n",
       " 609: {'Crime', 'Drama'},\n",
       " 610: {'Biography', 'Crime', 'Drama'},\n",
       " 611: {'Horror'},\n",
       " 612: {'Romance'},\n",
       " 613: {'Action'},\n",
       " 614: {'Drama'},\n",
       " 615: {'Horror'},\n",
       " 616: {'Drama', 'Thriller'},\n",
       " 617: {'Action', 'Crime', 'Drama'},\n",
       " 618: {'Action', 'Crime', 'Drama'},\n",
       " 619: {'Comedy', 'Drama', 'Romance'},\n",
       " 620: {'Drama', 'Romance'},\n",
       " 621: {'Horror', 'Thriller'},\n",
       " 622: {'Mystery'},\n",
       " 623: {'Drama', 'Horror', 'Mystery'},\n",
       " 624: {'Horror', 'Sci-Fi', 'Thriller'},\n",
       " 625: {'Horror', 'Thriller'},\n",
       " 626: {'Comedy', 'Drama'},\n",
       " 627: {'Crime', 'Drama', 'Thriller'},\n",
       " 628: {'Comedy', 'Drama', 'Musical'},\n",
       " 629: {'Drama', 'Mystery', 'Thriller'},\n",
       " 630: {'Drama', 'Horror', 'Thriller'},\n",
       " 631: {'Action', 'Adventure', 'Drama'},\n",
       " 632: {'Action', 'Comedy', 'Crime'},\n",
       " 633: {'Action', 'Crime', 'Drama'},\n",
       " 634: {'Comedy', 'Drama', 'Romance'},\n",
       " 635: {'Action', 'Comedy', 'Drama'},\n",
       " 636: {'Animation', 'Comedy', 'Music'},\n",
       " 637: {'Drama'},\n",
       " 638: {'Crime', 'Drama', 'Thriller'},\n",
       " 639: {'Drama', 'Horror', 'Mystery'},\n",
       " 640: {'Action', 'Adventure', 'Comedy'},\n",
       " 641: {'Crime', 'Drama', 'Thriller'},\n",
       " 642: {'Comedy', 'Drama'},\n",
       " 643: {'Horror', 'Thriller'},\n",
       " 644: {'Action', 'Thriller'},\n",
       " 645: {'Adventure', 'Family', 'Fantasy'},\n",
       " 646: {'Action', 'Adventure'},\n",
       " 647: {'Horror'},\n",
       " 648: {'Drama'},\n",
       " 649: {'Horror'},\n",
       " 650: {'Drama', 'Romance'},\n",
       " 651: {'Action', 'Adventure', 'Drama'},\n",
       " 652: {'Horror', 'Mystery', 'Thriller'},\n",
       " 653: {'Horror', 'Mystery', 'Thriller'},\n",
       " 654: {'Horror', 'Thriller'},\n",
       " 655: {'Horror', 'Mystery', 'Thriller'},\n",
       " 656: {'Crime', 'Drama', 'Horror'},\n",
       " 657: {'Comedy', 'Family', 'Musical'},\n",
       " 658: {'Drama'},\n",
       " 659: {'Horror', 'Mystery', 'Sci-Fi'},\n",
       " 660: {'Drama'},\n",
       " 661: {'Drama', 'Horror'},\n",
       " 662: {'Biography', 'Drama', 'Family'},\n",
       " 663: {'Drama', 'Mystery'},\n",
       " 664: {'Horror'},\n",
       " 665: {'Comedy', 'Drama', 'Romance'},\n",
       " 666: {'Drama'},\n",
       " 667: {'Crime', 'Drama', 'Thriller'},\n",
       " 668: {'Action', 'Crime', 'Thriller'},\n",
       " 669: {'Crime', 'Drama', 'Horror'},\n",
       " 670: {'Horror', 'Thriller'},\n",
       " 671: {'Adventure', 'Animation', 'Comedy'},\n",
       " 672: {'Action', 'Horror', 'Thriller'},\n",
       " 673: {'Action', 'Drama', 'War'},\n",
       " 674: {'Family'},\n",
       " 675: {'Comedy', 'Drama'},\n",
       " 676: {'Drama', 'Fantasy'},\n",
       " 677: {'Comedy', 'Music', 'Romance'},\n",
       " 678: {'Action'},\n",
       " 679: {'Drama'},\n",
       " 680: {'Drama', 'Horror', 'Romance'},\n",
       " 681: {'Comedy', 'Family', 'Musical'},\n",
       " 682: {'Thriller'},\n",
       " 683: {'Action', 'Adventure', 'Drama'},\n",
       " 684: {'Biography', 'Crime', 'Drama'},\n",
       " 685: {'Comedy', 'Drama', 'Romance'},\n",
       " 686: {'Horror', 'Mystery', 'Thriller'},\n",
       " 687: {'Horror', 'Mystery', 'Thriller'},\n",
       " 688: {'Action', 'Adventure', 'Crime'},\n",
       " 689: {'Adventure', 'Drama', 'War'},\n",
       " 690: {'Drama', 'Romance', 'Sci-Fi'},\n",
       " 691: {'Drama', 'Family'},\n",
       " 692: {'Drama'},\n",
       " 693: {'Horror'},\n",
       " 694: {'Drama', 'Horror', 'Thriller'},\n",
       " 695: {'Drama'},\n",
       " 696: {'Comedy', 'Drama', 'Music'},\n",
       " 697: {'Romance', 'Thriller'},\n",
       " 698: {'Drama'},\n",
       " 699: {'Drama', 'Mystery', 'Thriller'},\n",
       " 700: {'Drama', 'Romance', 'Thriller'},\n",
       " 701: {'Action', 'Adventure', 'Drama'},\n",
       " 702: {'Drama'},\n",
       " 703: {'Adventure', 'Horror'},\n",
       " 704: {'Action'},\n",
       " 705: {'Action', 'Drama', 'Thriller'},\n",
       " 706: {'Comedy', 'Romance'},\n",
       " 707: {'Comedy', 'Fantasy'},\n",
       " 708: {'Comedy', 'Drama', 'History'},\n",
       " 709: {'Action', 'Adventure', 'Animation'},\n",
       " 710: {'Action', 'Adventure', 'Animation'},\n",
       " 711: {'Action', 'Crime', 'Mystery'},\n",
       " 712: {'Animation', 'Comedy', 'Family'},\n",
       " 713: {'Action', 'Crime', 'Mystery'},\n",
       " 714: {'Crime', 'Drama', 'Fantasy'},\n",
       " 715: {'Crime', 'Drama', 'Thriller'},\n",
       " 716: {'Biography', 'Drama'},\n",
       " 717: {'Adventure', 'Crime', 'Drama'},\n",
       " 718: {'Crime'},\n",
       " 719: {'Action', 'Comedy', 'Thriller'},\n",
       " 720: {'Crime', 'Drama', 'Mystery'},\n",
       " 721: {'Crime', 'Drama', 'Horror'},\n",
       " 722: {'Documentary'},\n",
       " 723: {'Comedy', 'Family'},\n",
       " 724: {'Action', 'Horror'},\n",
       " 725: {'Drama', 'Horror', 'Thriller'},\n",
       " 726: {'Action', 'Crime', 'Thriller'},\n",
       " 727: {'Action', 'Drama', 'Romance'},\n",
       " 728: {'Drama', 'Romance'},\n",
       " 729: {'Drama', 'Thriller'},\n",
       " 730: {'Comedy', 'Fantasy', 'Musical'},\n",
       " 731: {'Comedy', 'Documentary', 'Musical'},\n",
       " 732: {'Comedy', 'Romance'},\n",
       " 733: {'Adventure', 'Family', 'Fantasy'},\n",
       " 734: {'Drama'},\n",
       " 735: {'Comedy', 'Crime', 'Drama'},\n",
       " 736: {'Drama', 'Musical'},\n",
       " 737: {'Action', 'Thriller', 'War'},\n",
       " 738: {'Crime', 'Horror', 'Thriller'},\n",
       " 739: {'Action', 'Thriller'},\n",
       " 740: {'Adventure'},\n",
       " 741: {'Drama', 'Horror'},\n",
       " 742: {'Drama', 'Romance'},\n",
       " 743: {'Animation', 'Comedy', 'Drama'},\n",
       " 744: {'Fantasy', 'Horror', 'Mystery'},\n",
       " 745: {'Action', 'Crime', 'Thriller'},\n",
       " 746: {'Drama', 'Romance', 'Thriller'},\n",
       " 747: {'Action', 'Adventure', 'Comedy'},\n",
       " 748: {'Comedy', 'Drama'},\n",
       " 749: {'Animation', 'Comedy', 'Sci-Fi'},\n",
       " 750: {'Horror', 'Mystery', 'Thriller'},\n",
       " 751: {'Comedy', 'Horror'},\n",
       " 752: {'Biography', 'Sport'},\n",
       " 753: {'Comedy'},\n",
       " 754: {'Comedy', 'Drama', 'Romance'},\n",
       " 755: {'Drama', 'Sci-Fi'},\n",
       " 756: {'Thriller'},\n",
       " 757: {'Comedy', 'Drama', 'Romance'},\n",
       " 758: {'Drama', 'History'},\n",
       " 759: {'Drama', 'Romance', 'Sci-Fi'},\n",
       " 760: {'Biography', 'Documentary'},\n",
       " 761: {'Action', 'Thriller'},\n",
       " 762: {'Biography', 'Drama', 'Sport'},\n",
       " 763: {'Action', 'Adventure', 'Drama'},\n",
       " 764: {'Comedy', 'Drama'},\n",
       " 765: {'Action', 'Adventure', 'Drama'},\n",
       " 766: {'Drama', 'Music', 'Romance'},\n",
       " 767: {'Comedy', 'Drama'},\n",
       " 768: {'Comedy', 'Drama'},\n",
       " 769: {'Western'},\n",
       " 770: {'Crime', 'Drama', 'Mystery'},\n",
       " 771: {'Thriller'},\n",
       " 772: {'Western'},\n",
       " 773: {'Comedy'},\n",
       " 774: {'Adventure', 'Drama', 'Fantasy'},\n",
       " 775: {'Drama', 'Romance'},\n",
       " 776: {'Drama', 'Romance'},\n",
       " 777: {'Drama'},\n",
       " 778: {'Horror', 'Thriller'},\n",
       " 779: {'Action', 'Adventure', 'Drama'},\n",
       " 780: {'Action', 'Comedy', 'Crime'},\n",
       " 781: {'Horror', 'Mystery', 'Thriller'},\n",
       " 782: {'Action', 'Comedy', 'Crime'},\n",
       " 783: {'Drama', 'Horror', 'Mystery'},\n",
       " 784: {'Biography', 'Drama', 'Family'},\n",
       " 785: {'Comedy'},\n",
       " 786: {'Horror', 'Thriller'},\n",
       " 787: {'Comedy', 'Drama'},\n",
       " 788: {'Comedy'},\n",
       " 789: {'Action', 'Adventure', 'Comedy'},\n",
       " 790: {'Adventure', 'Comedy', 'Drama'},\n",
       " 791: {'Action', 'Adventure', 'Thriller'},\n",
       " 792: {'Action', 'Crime', 'Thriller'},\n",
       " 793: {'Action', 'Crime', 'Thriller'},\n",
       " 794: {'Comedy', 'Drama', 'Romance'},\n",
       " 795: {'Crime', 'Drama'},\n",
       " 796: {'Drama'},\n",
       " 797: {'Comedy', 'Romance'},\n",
       " 798: {'Drama'},\n",
       " 799: {'Drama', 'Music'},\n",
       " 800: {'Biography', 'Drama'},\n",
       " 801: {'Comedy', 'Drama', 'Romance'},\n",
       " 802: {'Horror', 'Mystery'},\n",
       " 803: {'Drama', 'Horror', 'Sci-Fi'},\n",
       " 804: {'Comedy', 'Drama', 'Family'},\n",
       " 805: {'Crime', 'Drama'},\n",
       " 806: {'Action', 'Drama', 'Thriller'},\n",
       " 807: {'Drama', 'Romance'},\n",
       " 808: {'Drama', 'Horror', 'Mystery'},\n",
       " 809: {'Drama', 'Thriller'},\n",
       " 810: {'Comedy', 'Drama', 'Family'},\n",
       " 811: {'Romance', 'Thriller'},\n",
       " 812: {'Action', 'Comedy', 'Crime'},\n",
       " 813: {'Family', 'Musical', 'Romance'},\n",
       " 814: {'Drama'},\n",
       " 815: {'Comedy', 'Drama', 'Romance'},\n",
       " 816: {'Animation', 'Comedy', 'Music'},\n",
       " 817: {'Drama', 'Fantasy', 'Horror'},\n",
       " 818: {'Action', 'Crime', 'Drama'},\n",
       " 819: {'Drama', 'Romance'},\n",
       " 820: {'Documentary', 'History'},\n",
       " 821: {'Comedy'},\n",
       " 822: {'Horror', 'Thriller'},\n",
       " 823: {'Drama', 'Horror', 'Thriller'},\n",
       " 824: {'Comedy', 'Romance'},\n",
       " 825: {'Horror'},\n",
       " 826: {'Animation', 'Fantasy', 'Mystery'},\n",
       " 827: {'Drama', 'Romance'},\n",
       " 828: {'Adventure', 'Horror', 'Thriller'},\n",
       " 829: {'Drama', 'History', 'Romance'},\n",
       " 830: {'Comedy', 'Fantasy', 'Horror'},\n",
       " 831: {'Drama'},\n",
       " 832: {'Drama', 'Mystery', 'Romance'},\n",
       " 833: {'Comedy', 'Horror'},\n",
       " 834: {'Horror', 'Mystery'},\n",
       " 835: {'Action', 'Crime', 'Drama'},\n",
       " 836: {'Comedy', 'Romance'},\n",
       " 837: {'Drama', 'Romance'},\n",
       " 838: {'Drama'},\n",
       " 839: {'Thriller'},\n",
       " 840: {'Comedy', 'Drama'},\n",
       " 841: {'Drama', 'Romance'},\n",
       " 842: {'Drama', 'Romance'},\n",
       " 843: {'Crime', 'Horror', 'Mystery'},\n",
       " 844: {'Drama'},\n",
       " 845: {'Comedy', 'Fantasy'},\n",
       " 846: {'Comedy'},\n",
       " 847: {'Drama'},\n",
       " 848: {'Drama', 'Horror', 'Thriller'},\n",
       " 849: {'Comedy', 'Sci-Fi'},\n",
       " 850: {'Comedy', 'Family', 'Fantasy'},\n",
       " 851: {'Comedy', 'Romance'},\n",
       " 852: {'Thriller'},\n",
       " 853: {'Drama'},\n",
       " 854: {'Thriller'},\n",
       " 855: {'Crime', 'Drama', 'Mystery'},\n",
       " 856: {'Comedy', 'Drama', 'Thriller'},\n",
       " 857: {'Comedy', 'Drama', 'Romance'},\n",
       " 858: {'Romance'},\n",
       " 859: {'Comedy', 'Drama', 'Thriller'},\n",
       " 860: {'Comedy'},\n",
       " 861: {'Horror'},\n",
       " 862: {'Action', 'Drama', 'War'},\n",
       " 863: {'Comedy', 'Drama'},\n",
       " 864: {'Horror', 'Thriller'},\n",
       " 865: {'Drama'},\n",
       " 866: {'Action', 'Comedy'},\n",
       " 867: {'Action', 'Thriller'},\n",
       " 868: {'Action', 'Drama', 'Western'},\n",
       " 869: {'Crime', 'Drama', 'Horror'},\n",
       " 870: {'Biography', 'Drama', 'Music'},\n",
       " 871: {'Thriller'},\n",
       " 872: {'Drama'},\n",
       " 873: {'Comedy', 'Drama', 'Fantasy'},\n",
       " 874: {'Comedy', 'Drama', 'Romance'},\n",
       " 875: {'Comedy', 'Horror', 'Mystery'},\n",
       " 876: {'Adventure', 'Animation', 'Comedy'},\n",
       " 877: {'Comedy', 'Drama'},\n",
       " 878: {'Action', 'Comedy', 'Sci-Fi'},\n",
       " 879: {'Action', 'Drama', 'History'},\n",
       " 880: {'Action', 'Crime', 'Drama'},\n",
       " 881: {'Drama', 'History', 'War'},\n",
       " 882: {'Comedy', 'Drama', 'Romance'},\n",
       " 883: {'Romance'},\n",
       " 884: {'Horror'},\n",
       " 885: {'Adventure', 'Drama', 'Family'},\n",
       " 886: {'Drama'},\n",
       " 887: {'Comedy'},\n",
       " 888: {'Action', 'Thriller', 'War'},\n",
       " 889: {'Horror'},\n",
       " 890: {'Drama'},\n",
       " 891: {'Action', 'Adventure', 'Animation'},\n",
       " 892: {'Action', 'Crime', 'Drama'},\n",
       " 893: {'Comedy', 'Romance'},\n",
       " 894: {'Crime', 'Drama', 'Thriller'},\n",
       " 895: {'Drama'},\n",
       " 896: {'Comedy', 'Sport'},\n",
       " 897: {'Crime', 'Drama', 'Thriller'},\n",
       " 898: {'Drama', 'Romance'},\n",
       " 899: {'Action', 'Thriller'},\n",
       " 900: {'Drama'},\n",
       " 901: {'Biography', 'Drama'},\n",
       " 902: {'Animation', 'Comedy'},\n",
       " 903: {'Action', 'Adventure', 'Crime'},\n",
       " 904: {'Drama'},\n",
       " 905: {'Action', 'Thriller'},\n",
       " 906: {'Comedy', 'Romance'},\n",
       " 907: {'Action', 'Crime', 'Thriller'},\n",
       " 908: {'Comedy', 'Drama', 'Family'},\n",
       " 909: {'Action', 'Adventure'},\n",
       " 910: {'Documentary'},\n",
       " 911: {'Adventure', 'Comedy', 'Family'},\n",
       " 912: {'Drama', 'Family', 'Fantasy'},\n",
       " 913: {'Romance'},\n",
       " 914: {'Horror'},\n",
       " 915: {'Action', 'Thriller'},\n",
       " 916: {'Drama'},\n",
       " 917: {'Horror'},\n",
       " 918: {'Comedy', 'Family', 'Fantasy'},\n",
       " 919: {'Horror', 'Thriller'},\n",
       " 920: {'Horror', 'Thriller'},\n",
       " 921: {'Action', 'Crime', 'Drama'},\n",
       " 922: {'Comedy', 'Drama', 'Thriller'},\n",
       " 923: {'Drama', 'Thriller'},\n",
       " 924: {'Comedy', 'Crime', 'Mystery'},\n",
       " 925: {'Adventure', 'Animation', 'Comedy'},\n",
       " 926: {'Comedy', 'Romance'},\n",
       " 927: {'Adventure', 'Animation', 'Comedy'},\n",
       " 928: {'Documentary'},\n",
       " 929: {'Drama'},\n",
       " 930: {'Drama', 'Romance'},\n",
       " 931: {'Drama', 'Thriller'},\n",
       " 932: {'Comedy'},\n",
       " 933: {'Action', 'Comedy', 'Crime'},\n",
       " 934: {'Drama', 'Horror', 'Mystery'},\n",
       " 935: {'Action', 'Horror'},\n",
       " 936: {'Comedy', 'Fantasy'},\n",
       " 937: {'Comedy', 'Drama', 'Fantasy'},\n",
       " 938: {'Crime', 'Drama', 'Thriller'},\n",
       " 939: {'Action', 'Adventure', 'Animation'},\n",
       " 940: {'Action', 'Mystery', 'Thriller'},\n",
       " 941: {'Mystery', 'Thriller'},\n",
       " 942: {'Drama', 'Thriller'},\n",
       " 943: {'Drama', 'Thriller'},\n",
       " 944: {'Action', 'Crime', 'Thriller'},\n",
       " 945: {'Drama'},\n",
       " 946: {'Thriller'},\n",
       " 947: {'Action', 'Adventure', 'Fantasy'},\n",
       " 948: {'Action', 'Comedy', 'Crime'},\n",
       " 949: {'Biography', 'Crime', 'Drama'},\n",
       " 950: {'Drama', 'Sci-Fi', 'Thriller'},\n",
       " 951: {'Thriller'},\n",
       " 952: {'Action', 'Drama', 'War'},\n",
       " 953: {'Horror'},\n",
       " 954: {'Action', 'Adventure', 'History'},\n",
       " 955: {'Comedy', 'Drama'},\n",
       " 956: {'Action', 'Drama', 'Fantasy'},\n",
       " 957: {'Horror', 'Thriller'},\n",
       " 958: {'Drama', 'History', 'Thriller'},\n",
       " 959: {'Drama'},\n",
       " 960: {'Biography', 'Comedy', 'Drama'},\n",
       " 961: {'Action', 'Crime', 'Romance'},\n",
       " 962: {'Comedy', 'Drama'},\n",
       " 963: {'Crime', 'History', 'Thriller'},\n",
       " 964: {'Romance'},\n",
       " 965: {'Comedy', 'Romance', 'Thriller'},\n",
       " 966: {'Comedy', 'History', 'Romance'},\n",
       " 967: {'Comedy', 'Sport'},\n",
       " 968: {'Horror', 'Mystery', 'Thriller'},\n",
       " 969: {'Thriller'},\n",
       " 970: {'Thriller'},\n",
       " 971: {'Drama', 'Romance', 'Thriller'},\n",
       " 972: {'Horror', 'Mystery'},\n",
       " 973: {'Comedy', 'Drama'},\n",
       " 974: {'Comedy', 'Drama'},\n",
       " 975: {'Drama'},\n",
       " 976: {'Action', 'Crime', 'Drama'},\n",
       " 977: {'Comedy', 'Drama', 'Family'},\n",
       " 978: {'Drama', 'Family'},\n",
       " 979: {'Drama', 'Romance'},\n",
       " 980: {'Horror', 'Thriller'},\n",
       " 981: {'Action', 'Crime', 'Drama'},\n",
       " 982: {'Action', 'Horror', 'Sci-Fi'},\n",
       " 983: {'Thriller'},\n",
       " 984: {'Drama', 'Family', 'History'},\n",
       " 985: {'Drama', 'Romance'},\n",
       " 986: {'Thriller'},\n",
       " 987: {'Crime', 'Thriller'},\n",
       " 988: {'Drama', 'Horror', 'Mystery'},\n",
       " 989: {'Drama', 'Thriller'},\n",
       " 990: {'Crime', 'Drama', 'Mystery'},\n",
       " 991: {'Comedy', 'Drama', 'Sci-Fi'},\n",
       " 992: {'Horror', 'Mystery', 'Thriller'},\n",
       " 993: {'Adventure', 'Sci-Fi'},\n",
       " 994: {'Drama', 'Thriller'},\n",
       " 995: {'Crime', 'Drama', 'Mystery'},\n",
       " 996: {'Thriller'},\n",
       " 997: {'Comedy', 'Drama', 'Family'},\n",
       " 998: {'Comedy', 'Romance'},\n",
       " 999: {'Action', 'Thriller'},\n",
       " ...}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_genres = {}\n",
    "for index, row in df_for_genres_based_recommend.iterrows():\n",
    "    genres = row.iloc[5].split(',')  # ','로 장르 분리\n",
    "    movie_genres[index] = set(genres)  # 장르 집합 생성하여 딕셔너리에 저장\n",
    "movie_genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각 장르별 영화 개수 plot\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "genre_count = {}\n",
    "for genres in movie_genres.values():\n",
    "    for genre in genres:\n",
    "        if genre in genre_count:\n",
    "            genre_count[genre] += 1\n",
    "        else:\n",
    "            genre_count[genre] = 1\n",
    "genre_count = dict(sorted(genre_count.items(), key=lambda x: x[1], reverse=True))\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.bar(genre_count.keys(), genre_count.values())\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Drama': 5682,\n",
       " 'Comedy': 2423,\n",
       " 'Action': 1891,\n",
       " 'Thriller': 1618,\n",
       " 'Romance': 1603,\n",
       " 'Crime': 1380,\n",
       " 'Horror': 1208,\n",
       " 'Adventure': 978,\n",
       " 'Mystery': 933,\n",
       " 'Sci-Fi': 545,\n",
       " 'Fantasy': 534,\n",
       " 'Biography': 368,\n",
       " 'Animation': 367,\n",
       " 'Family': 322,\n",
       " 'History': 307,\n",
       " 'War': 224,\n",
       " 'Documentary': 209,\n",
       " 'Music': 200,\n",
       " 'Sport': 106,\n",
       " 'Musical': 93,\n",
       " 'Western': 66}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genre: Drama\n",
      "Index([   0,    1,    6,    8,    9,   11,   12,   14,   15,   17,\n",
      "       ...\n",
      "       9513, 9514, 9515, 9516, 9518, 9519, 9521, 9522, 9523, 9524],\n",
      "      dtype='int64', length=5682)\n",
      "Genre: Comedy\n",
      "Index([   6,   10,   14,   15,   18,   25,   28,   34,   36,   40,\n",
      "       ...\n",
      "       9485, 9489, 9495, 9496, 9499, 9506, 9509, 9512, 9517, 9520],\n",
      "      dtype='int64', length=2423)\n",
      "Genre: Action\n",
      "Index([   4,    6,    7,    9,   17,   23,   32,   34,   36,   55,\n",
      "       ...\n",
      "       9375, 9402, 9407, 9408, 9436, 9439, 9447, 9469, 9517, 9518],\n",
      "      dtype='int64', length=1891)\n",
      "Genre: Thriller\n",
      "Index([   2,    3,    4,    5,   16,   31,   48,   50,   53,   61,\n",
      "       ...\n",
      "       9369, 9372, 9376, 9379, 9387, 9406, 9409, 9454, 9459, 9505],\n",
      "      dtype='int64', length=1618)\n",
      "Genre: Romance\n",
      "Index([   8,   11,   12,   18,   25,   40,   43,   44,   46,   48,\n",
      "       ...\n",
      "       9500, 9501, 9506, 9508, 9509, 9511, 9514, 9518, 9522, 9524],\n",
      "      dtype='int64', length=1603)\n",
      "Genre: Crime\n",
      "Index([   4,    5,   19,   22,   50,   55,   61,   68,   72,   78,\n",
      "       ...\n",
      "       9442, 9445, 9448, 9458, 9459, 9482, 9486, 9495, 9498, 9505],\n",
      "      dtype='int64', length=1380)\n",
      "Genre: Horror\n",
      "Index([   2,    3,   13,   16,   19,   20,   31,   42,   71,  100,\n",
      "       ...\n",
      "       9349, 9375, 9387, 9388, 9404, 9413, 9423, 9497, 9503, 9504],\n",
      "      dtype='int64', length=1208)\n",
      "Genre: Adventure\n",
      "Index([   9,   23,   49,   59,   76,   86,  101,  108,  120,  134,\n",
      "       ...\n",
      "       9474, 9475, 9478, 9486, 9487, 9497, 9504, 9511, 9512, 9517],\n",
      "      dtype='int64', length=978)\n",
      "Genre: Mystery\n",
      "Index([   3,    5,   16,   20,   21,   22,   31,   42,   72,  107,\n",
      "       ...\n",
      "       9409, 9442, 9445, 9458, 9468, 9472, 9473, 9493, 9499, 9505],\n",
      "      dtype='int64', length=933)\n",
      "Genre: Sci-Fi\n",
      "Index([   7,   25,   71,  130,  140,  156,  163,  190,  235,  295,\n",
      "       ...\n",
      "       9349, 9375, 9381, 9388, 9404, 9413, 9435, 9497, 9504, 9519],\n",
      "      dtype='int64', length=545)\n",
      "Genre: Fantasy\n",
      "Index([   7,   19,   58,   87,  118,  136,  174,  226,  232,  261,\n",
      "       ...\n",
      "       9263, 9298, 9305, 9366, 9414, 9416, 9453, 9455, 9475, 9503],\n",
      "      dtype='int64', length=534)\n",
      "Genre: Biography\n",
      "Index([  32,  112,  116,  131,  154,  192,  242,  257,  308,  320,\n",
      "       ...\n",
      "       9310, 9313, 9322, 9370, 9386, 9390, 9397, 9465, 9467, 9490],\n",
      "      dtype='int64', length=368)\n",
      "Genre: Animation\n",
      "Index([  34,   49,   57,   76,   86,  128,  149,  159,  177,  188,\n",
      "       ...\n",
      "       8382, 8401, 8542, 8568, 8634, 8641, 8746, 8868, 9474, 9487],\n",
      "      dtype='int64', length=367)\n",
      "Genre: Family\n",
      "Index([  10,   60,   76,  134,  160,  177,  203,  238,  239,  276,\n",
      "       ...\n",
      "       9312, 9339, 9371, 9423, 9443, 9446, 9452, 9453, 9475, 9487],\n",
      "      dtype='int64', length=322)\n",
      "Genre: History\n",
      "Index([  32,   68,   99,  106,  171,  180,  192,  212,  242,  330,\n",
      "       ...\n",
      "       9237, 9238, 9240, 9277, 9313, 9325, 9356, 9418, 9443, 9490],\n",
      "      dtype='int64', length=307)\n",
      "Genre: War\n",
      "Index([ 211,  250,  260,  316,  324,  392,  440,  456,  573,  673,\n",
      "       ...\n",
      "       9415, 9416, 9460, 9461, 9462, 9463, 9476, 9500, 9510, 9516],\n",
      "      dtype='int64', length=224)\n",
      "Genre: Documentary\n",
      "Index([  27,   39,   54,   56,   73,   77,   79,   85,  126,  131,\n",
      "       ...\n",
      "       6213, 6465, 6850, 7119, 7818, 7965, 8293, 8481, 8934, 9038],\n",
      "      dtype='int64', length=209)\n",
      "Genre: Music\n",
      "Index([  51,   75,   77,   79,   85,   92,   94,  117,  128,  131,\n",
      "       ...\n",
      "       9411, 9417, 9421, 9429, 9456, 9462, 9471, 9491, 9495, 9514],\n",
      "      dtype='int64', length=288)\n",
      "Genre: Sport\n",
      "Index([  14,   41,   66,  112,  116,  219,  424,  752,  762,  896,\n",
      "       ...\n",
      "       8064, 8122, 8210, 8224, 8455, 8528, 8626, 8724, 8782, 9427],\n",
      "      dtype='int64', length=106)\n",
      "Genre: Musical\n",
      "Index([ 589,  628,  657,  681,  730,  731,  736,  813, 1002, 1109, 1113, 1236,\n",
      "       1334, 1347, 1514, 1554, 1597, 1601, 1690, 1723, 1894, 1963, 1979, 2022,\n",
      "       2026, 2236, 2423, 2431, 2484, 2835, 3396, 3598, 3602, 3705, 3906, 4305,\n",
      "       4321, 4639, 4739, 4977, 5134, 5153, 5193, 5194, 5989, 6051, 6093, 6202,\n",
      "       6231, 6316, 6377, 6448, 6486, 6673, 6982, 7009, 7018, 7049, 7178, 7218,\n",
      "       7270, 7389, 7545, 7894, 8058, 8077, 8149, 8169, 8344, 8514, 8678, 8772,\n",
      "       8781, 8867, 8907, 8982, 8996, 9057, 9206, 9208, 9275, 9283, 9294, 9360,\n",
      "       9386, 9410, 9411, 9417, 9421, 9429, 9462, 9471, 9514],\n",
      "      dtype='int64')\n",
      "Genre: Western\n",
      "Index([ 532,  769,  772,  868, 1042, 1191, 1813, 1974, 2079, 2083, 2102, 2209,\n",
      "       2218, 2220, 2351, 2644, 3300, 3314, 3377, 3777, 4130, 4168, 4562, 5035,\n",
      "       5221, 5663, 7800, 7813, 7932, 8009, 8076, 8584, 8601, 8740, 8861, 8900,\n",
      "       8940, 8948, 8956, 8970, 8998, 9018, 9022, 9023, 9042, 9047, 9056, 9078,\n",
      "       9129, 9137, 9145, 9147, 9161, 9165, 9173, 9200, 9260, 9265, 9286, 9380,\n",
      "       9398, 9418, 9419, 9420, 9425, 9441],\n",
      "      dtype='int64')\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "for genre in genre_count.keys():\n",
    "    print(f\"Genre: {genre}\")\n",
    "    print(df_for_genres_based_recommend[df_for_genres_based_recommend['genres'].str.contains(genre)].index)\n",
    "    # store indexs of df_for_genres_based_recommend by genre in npy file\n",
    "    np.save(f\"./genre_index/{genre}_indexs.npy\", df_for_genres_based_recommend[df_for_genres_based_recommend['genres'].str.contains(genre)].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tconst</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>startYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averageRating</th>\n",
       "      <th>numVotes</th>\n",
       "      <th>directors</th>\n",
       "      <th>ordering</th>\n",
       "      <th>...</th>\n",
       "      <th>embedding_374</th>\n",
       "      <th>embedding_375</th>\n",
       "      <th>embedding_376</th>\n",
       "      <th>embedding_377</th>\n",
       "      <th>embedding_378</th>\n",
       "      <th>embedding_379</th>\n",
       "      <th>embedding_380</th>\n",
       "      <th>embedding_381</th>\n",
       "      <th>embedding_382</th>\n",
       "      <th>embedding_383</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>tt30364726</td>\n",
       "      <td>Citizen of a Kind</td>\n",
       "      <td>Citizen of a Kind</td>\n",
       "      <td>2024</td>\n",
       "      <td>114</td>\n",
       "      <td>Action,Comedy,Drama</td>\n",
       "      <td>6.4</td>\n",
       "      <td>28</td>\n",
       "      <td>nm8142058</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.040804</td>\n",
       "      <td>-0.034095</td>\n",
       "      <td>-0.025141</td>\n",
       "      <td>0.009517</td>\n",
       "      <td>-0.059825</td>\n",
       "      <td>0.071487</td>\n",
       "      <td>0.111060</td>\n",
       "      <td>-0.062704</td>\n",
       "      <td>0.009305</td>\n",
       "      <td>-0.002621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>tt29579010</td>\n",
       "      <td>It's Okay!</td>\n",
       "      <td>It's Okay!</td>\n",
       "      <td>2023</td>\n",
       "      <td>102</td>\n",
       "      <td>Comedy,Family</td>\n",
       "      <td>7.7</td>\n",
       "      <td>16</td>\n",
       "      <td>nm13767046</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048707</td>\n",
       "      <td>-0.011220</td>\n",
       "      <td>-0.018363</td>\n",
       "      <td>0.027554</td>\n",
       "      <td>-0.105131</td>\n",
       "      <td>0.064523</td>\n",
       "      <td>0.016868</td>\n",
       "      <td>0.002069</td>\n",
       "      <td>0.039751</td>\n",
       "      <td>0.004803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>tt13814704</td>\n",
       "      <td>Dream</td>\n",
       "      <td>Deurim</td>\n",
       "      <td>2023</td>\n",
       "      <td>125</td>\n",
       "      <td>Comedy,Drama,Sport</td>\n",
       "      <td>6.5</td>\n",
       "      <td>3049</td>\n",
       "      <td>nm4998869</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.007062</td>\n",
       "      <td>-0.093492</td>\n",
       "      <td>-0.015759</td>\n",
       "      <td>0.165195</td>\n",
       "      <td>-0.005052</td>\n",
       "      <td>0.023758</td>\n",
       "      <td>0.002638</td>\n",
       "      <td>-0.017882</td>\n",
       "      <td>-0.024570</td>\n",
       "      <td>-0.045752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>tt29259250</td>\n",
       "      <td>Miss Fortune</td>\n",
       "      <td>Hwasahan geunyeo</td>\n",
       "      <td>2023</td>\n",
       "      <td>121</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>6.0</td>\n",
       "      <td>36</td>\n",
       "      <td>nm15283160</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026224</td>\n",
       "      <td>-0.057555</td>\n",
       "      <td>-0.018167</td>\n",
       "      <td>0.089604</td>\n",
       "      <td>0.030709</td>\n",
       "      <td>0.025764</td>\n",
       "      <td>0.126016</td>\n",
       "      <td>-0.078456</td>\n",
       "      <td>-0.008939</td>\n",
       "      <td>-0.021327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>tt29031019</td>\n",
       "      <td>Love Reset</td>\n",
       "      <td>30 il</td>\n",
       "      <td>2023</td>\n",
       "      <td>119</td>\n",
       "      <td>Comedy,Romance</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1160</td>\n",
       "      <td>nm4647793</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001420</td>\n",
       "      <td>-0.005903</td>\n",
       "      <td>0.113477</td>\n",
       "      <td>0.031280</td>\n",
       "      <td>-0.072565</td>\n",
       "      <td>-0.035299</td>\n",
       "      <td>0.059401</td>\n",
       "      <td>0.111517</td>\n",
       "      <td>0.006717</td>\n",
       "      <td>-0.023393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9506</th>\n",
       "      <td>tt0021749</td>\n",
       "      <td>City Lights</td>\n",
       "      <td>City Lights</td>\n",
       "      <td>1931</td>\n",
       "      <td>87</td>\n",
       "      <td>Comedy,Drama,Romance</td>\n",
       "      <td>8.5</td>\n",
       "      <td>194969</td>\n",
       "      <td>nm0000122</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009962</td>\n",
       "      <td>-0.128484</td>\n",
       "      <td>-0.048821</td>\n",
       "      <td>0.080210</td>\n",
       "      <td>0.024267</td>\n",
       "      <td>-0.016587</td>\n",
       "      <td>0.008518</td>\n",
       "      <td>-0.012990</td>\n",
       "      <td>-0.001089</td>\n",
       "      <td>0.040829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9509</th>\n",
       "      <td>tt0022125</td>\n",
       "      <td>Marius</td>\n",
       "      <td>Marius</td>\n",
       "      <td>1931</td>\n",
       "      <td>130</td>\n",
       "      <td>Comedy,Drama,Romance</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2546</td>\n",
       "      <td>nm0466099</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.032562</td>\n",
       "      <td>-0.101574</td>\n",
       "      <td>-0.046514</td>\n",
       "      <td>0.048880</td>\n",
       "      <td>-0.003156</td>\n",
       "      <td>0.007474</td>\n",
       "      <td>0.010705</td>\n",
       "      <td>0.011225</td>\n",
       "      <td>-0.065067</td>\n",
       "      <td>0.029740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9512</th>\n",
       "      <td>tt0019901</td>\n",
       "      <td>Woman in the Moon</td>\n",
       "      <td>Frau im Mond</td>\n",
       "      <td>1929</td>\n",
       "      <td>156</td>\n",
       "      <td>Adventure,Comedy,Drama</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3830</td>\n",
       "      <td>nm0000485</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034414</td>\n",
       "      <td>0.033320</td>\n",
       "      <td>-0.048615</td>\n",
       "      <td>0.024125</td>\n",
       "      <td>-0.054621</td>\n",
       "      <td>-0.007618</td>\n",
       "      <td>0.093863</td>\n",
       "      <td>0.014121</td>\n",
       "      <td>-0.029125</td>\n",
       "      <td>-0.041370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9517</th>\n",
       "      <td>tt0018937</td>\n",
       "      <td>A Girl in Every Port</td>\n",
       "      <td>A Girl in Every Port</td>\n",
       "      <td>1928</td>\n",
       "      <td>78</td>\n",
       "      <td>Action,Adventure,Comedy</td>\n",
       "      <td>6.6</td>\n",
       "      <td>806</td>\n",
       "      <td>nm0001328</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002516</td>\n",
       "      <td>0.012719</td>\n",
       "      <td>-0.058167</td>\n",
       "      <td>0.066921</td>\n",
       "      <td>-0.000899</td>\n",
       "      <td>0.053774</td>\n",
       "      <td>-0.005466</td>\n",
       "      <td>-0.052637</td>\n",
       "      <td>0.048695</td>\n",
       "      <td>0.015760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9520</th>\n",
       "      <td>tt0017409</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>So This Is Paris</td>\n",
       "      <td>1926</td>\n",
       "      <td>60</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>7.1</td>\n",
       "      <td>746</td>\n",
       "      <td>nm0523932</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052198</td>\n",
       "      <td>-0.056215</td>\n",
       "      <td>-0.065513</td>\n",
       "      <td>0.068392</td>\n",
       "      <td>0.040504</td>\n",
       "      <td>-0.013506</td>\n",
       "      <td>-0.068042</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>-0.021429</td>\n",
       "      <td>-0.103460</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2423 rows × 396 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          tconst          primaryTitle         originalTitle  startYear  \\\n",
       "6     tt30364726     Citizen of a Kind     Citizen of a Kind       2024   \n",
       "10    tt29579010            It's Okay!            It's Okay!       2023   \n",
       "14    tt13814704                 Dream                Deurim       2023   \n",
       "15    tt29259250          Miss Fortune      Hwasahan geunyeo       2023   \n",
       "18    tt29031019            Love Reset                 30 il       2023   \n",
       "...          ...                   ...                   ...        ...   \n",
       "9506   tt0021749           City Lights           City Lights       1931   \n",
       "9509   tt0022125                Marius                Marius       1931   \n",
       "9512   tt0019901     Woman in the Moon          Frau im Mond       1929   \n",
       "9517   tt0018937  A Girl in Every Port  A Girl in Every Port       1928   \n",
       "9520   tt0017409      So This Is Paris      So This Is Paris       1926   \n",
       "\n",
       "      runtimeMinutes                   genres  averageRating  numVotes  \\\n",
       "6                114      Action,Comedy,Drama            6.4        28   \n",
       "10               102            Comedy,Family            7.7        16   \n",
       "14               125       Comedy,Drama,Sport            6.5      3049   \n",
       "15               121             Comedy,Drama            6.0        36   \n",
       "18               119           Comedy,Romance            6.9      1160   \n",
       "...              ...                      ...            ...       ...   \n",
       "9506              87     Comedy,Drama,Romance            8.5    194969   \n",
       "9509             130     Comedy,Drama,Romance            7.8      2546   \n",
       "9512             156   Adventure,Comedy,Drama            7.2      3830   \n",
       "9517              78  Action,Adventure,Comedy            6.6       806   \n",
       "9520              60                   Comedy            7.1       746   \n",
       "\n",
       "       directors  ordering  ... embedding_374 embedding_375  embedding_376  \\\n",
       "6      nm8142058         1  ...      0.040804     -0.034095      -0.025141   \n",
       "10    nm13767046         1  ...      0.048707     -0.011220      -0.018363   \n",
       "14     nm4998869        10  ...     -0.007062     -0.093492      -0.015759   \n",
       "15    nm15283160         1  ...      0.026224     -0.057555      -0.018167   \n",
       "18     nm4647793        10  ...     -0.001420     -0.005903       0.113477   \n",
       "...          ...       ...  ...           ...           ...            ...   \n",
       "9506   nm0000122         1  ...      0.009962     -0.128484      -0.048821   \n",
       "9509   nm0466099         1  ...      0.032562     -0.101574      -0.046514   \n",
       "9512   nm0000485         1  ...      0.034414      0.033320      -0.048615   \n",
       "9517   nm0001328         1  ...      0.002516      0.012719      -0.058167   \n",
       "9520   nm0523932         1  ...     -0.052198     -0.056215      -0.065513   \n",
       "\n",
       "      embedding_377  embedding_378  embedding_379  embedding_380  \\\n",
       "6          0.009517      -0.059825       0.071487       0.111060   \n",
       "10         0.027554      -0.105131       0.064523       0.016868   \n",
       "14         0.165195      -0.005052       0.023758       0.002638   \n",
       "15         0.089604       0.030709       0.025764       0.126016   \n",
       "18         0.031280      -0.072565      -0.035299       0.059401   \n",
       "...             ...            ...            ...            ...   \n",
       "9506       0.080210       0.024267      -0.016587       0.008518   \n",
       "9509       0.048880      -0.003156       0.007474       0.010705   \n",
       "9512       0.024125      -0.054621      -0.007618       0.093863   \n",
       "9517       0.066921      -0.000899       0.053774      -0.005466   \n",
       "9520       0.068392       0.040504      -0.013506      -0.068042   \n",
       "\n",
       "      embedding_381  embedding_382  embedding_383  \n",
       "6         -0.062704       0.009305      -0.002621  \n",
       "10         0.002069       0.039751       0.004803  \n",
       "14        -0.017882      -0.024570      -0.045752  \n",
       "15        -0.078456      -0.008939      -0.021327  \n",
       "18         0.111517       0.006717      -0.023393  \n",
       "...             ...            ...            ...  \n",
       "9506      -0.012990      -0.001089       0.040829  \n",
       "9509       0.011225      -0.065067       0.029740  \n",
       "9512       0.014121      -0.029125      -0.041370  \n",
       "9517      -0.052637       0.048695       0.015760  \n",
       "9520       0.001189      -0.021429      -0.103460  \n",
       "\n",
       "[2423 rows x 396 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comedy_indexs = np.load(\"./genre_index/Comedy_indexs.npy\")\n",
    "df_for_genres_based_recommend.iloc[comedy_indexs]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2423, 404])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_features = torch.from_numpy(np.load(\"final_features_without_directors_0518.npy\")).float()\n",
    "movie_features[comedy_indexs].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2423"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comedy_indexs.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 20 recommended movies for the new user: tensor([6407, 9031, 6560, 7554, 8655,   25, 8083,  749, 4764, 8012, 4676, 2205,\n",
      "        9222, 6548, 8903, 3284, 1837, 1440,  849, 3231])\n",
      "Adventure,Comedy,Sci-Fi\n",
      "인류가 점차 지능이 떨어지게 되자, 주인공 바우어와 리타는 군 프로젝트인 동면에 들어가게 되지고 프로젝트를 주관한 장군이 갑자기 불명예스럽게 퇴직을 당하게 되어 1년을 예상했던 동면이 수백년 흐르게 되고 마는데...\n",
      "Comedy,Romance,Sci-Fi\n",
      "nan\n",
      "Adventure,Comedy,Sci-Fi\n",
      "은하계 초공간 개발위원회 소속 우주인들은 초공간 이동용 우회 고속도로의 건설을 위해 도로부지에 위치한 지구의 철거를 결심한다. 지구의 폭발 일보 직전, 영국인 아서 덴트는 가장 친한 친구였던 포드 프리펙트에 의해 구출되는데, 실제로 포드는 은하수를 여행하는 히치하이커를 위한 안내서 개정판 작업을 진행중이던 우주인이었다. 둘은 이제 히치하이커가 되어 포드의 사촌 자포드 비블브락스, 그리고 또다른 지구인 트릴리언과 동행하게 된다. 여정을 통해 아서는 지구가 우주와 생명의 신비를 밝혀내기 위해 슈퍼 컴퓨터가 프로그래밍한 일종의 컴퓨터에 불과함을 알게 되는데...\n",
      "Comedy,Sci-Fi\n",
      "불분명한 시기, 어느 해 5월. 화성인이 지구에 나타난다. 세계 평화 유지와 자유 진영의 지도자임을 자청하는 미국 대통령 제임스 데일은 이들은 맞을 채비를 한다. 그러나 평화를 원한다던 화성인들은 네바다 사막에서 대기 중이던 지구의 환영단 케이시 대장을 비롯한 환영인파를 무참히 사살해버린다. 이러한 사태의 원인이 커뮤니케이션의 문화적 차이라고 판단한 제임스는 화성인과의 재교신을 시도한다. 이 교신에서 화성인들이 공식적인 사과문을 보내오자 제임스와 각료들은 기뻐하지만....\n",
      "Comedy,Romance,Sci-Fi\n",
      "nan\n",
      "Comedy,Romance,Sci-Fi\n",
      "그리 머지않은 미래의 뉴욕, 레이첼과 앨비 커플은 기술의 발달에 따라 더욱더 편리한 삶을 살고 있다. 떠오르는 기술 회사의 중역인 레이첼은 자궁 센터의 탐나는 자리를 차지한다. 이곳은 분리 가능한 인공 자궁, 팟을 통해 커플들에게 편리하게(또한 부담을 나누며) 아이를 가질 기회를 제공한다. 그런데 자연에 깊은 애정을 지닌 식물학자인 앨비는 자연 임신을 원한다. 하지만 왜 그게 ‘자연스러운’ 것인가? 레이첼의 AI 테라피스트도 말한다. 이렇게 해서 부모가 되는 목표를 향한 기술로 포장된 길이 시작된다.\n",
      "Comedy,Romance,Sci-Fi\n",
      "nan\n",
      "Animation,Comedy,Sci-Fi\n",
      "서부의 구닥다리 표류자 프랭크와 브루노는 린드와 팀을 이뤄 그녀의 땅을 되찾고 과거 1870년대 서부 애리조나를 여행한다. 그것은 온갖 과학이론들의 결합일 수도 아니면 단지 진정한 우리의 기억을 찾기 위한 여행일 수도 있다. 무엇이 됐든, 그곳엔 총과 말, 댄스홀 그리고 술과 선인장이 기다리고 있다!\n",
      "Comedy,Mystery,Sci-Fi\n",
      "nan\n",
      "Adventure,Comedy,Sci-Fi\n",
      "우여곡절 끝에 과거에서 현재로 무사히 돌아온 마티 맥플라이는 숨 고를 겨를도 없이 에메트 브라운 박사 손에 이끌려 미래로 향하는 드로리안에 또다시 몸을 싣는다. 이유인 즉슨, 미래의 마티 주니어가 대형 사고를 쳐 감옥에 간다는 것. 30년 뒤 미래인 2015년에 당도한 마티와 브라운 박사가 사건을 수습하는 동안, 마티와 원수지간인 비프 태넌이 인생을 바꿀 중요한 물건인 스포츠 연감과 함께 드로리안을 타고 과거로 사라진다. 다시 현대로 돌아온 마티와 브라운 박사는 뒤죽박죽이 되어 버린 세상에 소스라치게 놀라는데...\n",
      "Action,Adventure,Comedy\n",
      "자칭 전설의 무법자 스타로드, 그러나 현실은 우주를 떠도는 그저그런 좀도둑에 불과한 피터 퀼은 무엇인지도 모른 채 오브를 훔쳤다가 생고생의 길로 접어든다. 값나가는 유물인 줄 알았던 오브가 실은 어마어마한 힘을 지닌 인피니티 스톤이었던 것. 뜻하지 않게 갤럭시의 절대악 타노스와 로난의 타겟이 된 그는 감옥에서 만난 암살자 가모라, 거구의 파이터 드랙스, 현상금 사냥꾼 로켓과 그루트 콤비와 불편한 동맹을 맺고 일명 가디언즈 오브 갤럭시를 결성하는데...\n",
      "Adventure,Animation,Comedy\n",
      "자동차를 타고 국토를 횡단할까 했는데, 이게 무슨 날벼락. 로봇들이 세상을 점령하다니. 이제 이상하기로는 세계 최강, 미첼 가족이 나설 수밖에. 인류는 우리가 구한다. 어떻게든 되겠지!\n",
      "Comedy,Sci-Fi\n",
      "nan\n",
      "Action,Comedy,Sci-Fi\n",
      "남북한 공동으로 극비리에 개발한 핵무기 비격진천뢰가 미국측에 양도되기로 결정된다. 이에 불만을 품은 북한장교 강민길은 핵물리학자 김수연을 납치, 비격진천뢰를 연구소에서 빼내 탈출을 시도한다. 그때, 433년 만에 지구를 지나는 엄청난 혜성이 한반도 상공을 통과하는데... 강민길 일행과 그를 추적하던 남한장교 박정우 일행은 압록강에서 대치중, 갑작스런 회오리 돌풍과 함께 흔적도 없이 사라진다.\n",
      "Action,Comedy,Sci-Fi\n",
      "nan\n",
      "Action,Comedy,Sci-Fi\n",
      "가까운 미래. 샤라크-티 종족이 이종 교배해서 만든 생물 병기를 싣고 가던 우주선이 정체불명의 용병들에게 납치당한다. 제4차 세계 대전이 발발할 것을 우려한 미국 대통령 ‘헨릭센’은 과거 함께 전장을 누볐던 ‘애덤 라이커’에게 외계인을 되찾아 달라고 부탁한다. 지구를 떠나 달에 살던 ‘애덤 라이커’는 ‘헨릭센’의 부탁을 받아들여 4명의 팀원과 함께 외계 생명체를 찾아 우주로 떠나지만, 그곳에는 예상치 못했던 무언가가 그들을 기다리고 있는데...\n",
      "Comedy,Drama,Sci-Fi\n",
      "천문학과 대학원생 케이트 디비아스키(제니퍼 로렌스)와 담당 교수 랜들 민디 박사(레오나르도 디카프리오)는 태양계 내의 궤도를 돌고 있는 혜성이 지구와 직접 충돌하는 궤도에 들어섰다는 엄청난 사실을 발견한다. 하지만 지구를 파괴할 에베레스트 크기의 혜성이 다가온다는 불편한 소식에 아무도 신경 쓰지 않는다.  지구를 멸망으로 이끌지도 모르는 소식을 사람들에게 알리기 위해 언론 투어에 나선 두 사람.  혜성 충돌에 무관심한 대통령 올리언(메릴 스트립)과 그녀의 아들이자 비서실장 제이슨(조나 힐)의 집무실을 시작으로 브리(케이트 블란쳇)와 잭(타일러 페리)이 진행하는 인기 프로그램 출연까지 이어가지만 성과가 없다.  혜성 충돌까지 남은 시간은 단 6개월.  24시간 내내 뉴스와 정보는 쏟아지고 사람들은 소셜미디어에 푹 빠져있는 시대이지만 정작 이 중요한 뉴스는 대중의 주의를 끌지 못하는데...\n",
      "Adventure,Animation,Comedy\n",
      "하얀 입김이 새어 나오는 어느 크리스마스이브. 이기적인 구두쇠 에비니저 스크루지에게 마지막 기회가 주어진다. 과거를 마주하고 미래를 바꿀 수 있는 마지막 밤. 시간이 없다!\n",
      "Comedy,Sci-Fi\n",
      "달을 방패삼아 소행성 충돌을 막으려던 ‘달 방패 계획’의 실패로 결국 소행성은 지구로 충돌하고, 달에 홀로 버려져 있던 달기지 정비공 ‘독고월(独孤月, 두구위에)’은 엉겁결에 우주에서 살아남은 마지막 인류가 된다. 그러던 어느 날, 지구에서 보내온 시그널을 감지한 독고월은 모든 것을 걸고 지구로의 귀환을 준비한다. 독고월은 과연 무사히 지구로 귀환할 수 있을까?\n",
      "Action,Adventure,Comedy\n",
      "어벤져스 멤버들과 타노스와의 대접전을 마친 뒤, 지난 5년 동안 사라졌던 사람들이 동시에 돌아왔다. 아이언맨이 떠난 채 한동안 지구를 구할 히어로가 공석인 상황을 수습할 히어로는 현재 스파이더맨 피터 파커뿐이다. 친구들과의 유럽 현장학습 도중 닉 퓨리의 부름을 받게 된 피터는 미스테리오라는 정체 모를 히어로와 힘을 합쳐 엘리멘탈이라는 괴생명체를 무찔러야 하는 상황에 처한다. 그런데 피터는 지구를 구하는 일보다 MJ에게 멋지게 고백할 계획이 우선인데...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# 유저 임베딩 생성 함수\n",
    "def create_new_user_embedding(movie_features, interacted_movie_indices):\n",
    "    new_user_embedding = movie_features[interacted_movie_indices].mean(dim=0)\n",
    "    # print(\"new user embedding shape:\", new_user_embedding.shape)\n",
    "    # print(\"new user embedding:\", new_user_embedding)\n",
    "    return new_user_embedding\n",
    "\n",
    "# 새로운 유저에 대한 영화 추천\n",
    "def recommend_movies_for_new_user(link_predictor, node_embeddings, edge_index, num_users = 1, num_movies = 9525, num_recommendations=5, genre_indexs=None):\n",
    "    movie_indices = torch.arange(num_users, num_users + num_movies) # 영화 인덱스 생성 (유저 수만큼 offset)\n",
    "    \n",
    "    # user-movie pairs 생성\n",
    "    user_movie_pairs = torch.stack([torch.zeros(num_movies, dtype=torch.long), movie_indices], dim=0)\n",
    "\n",
    "    # 기존 유저가 본 영화 제외\n",
    "    already_seen_movies = edge_index[1] - num_users\n",
    "    mask = torch.ones(num_movies, dtype=torch.bool)\n",
    "    if genre_indexs is not None:\n",
    "        mask = torch.zeros(num_movies, dtype=torch.bool) # 모든 영화에 대해 False로 초기화\n",
    "        mask[genre_indexs] = True # 해당 장르의 영화만 True로 변경    \n",
    "    mask[already_seen_movies] = False\n",
    "    user_movie_pairs = user_movie_pairs[:, mask]\n",
    "    \n",
    "    # user-movie pairs의 score 계산\n",
    "    scores = link_predictor(node_embeddings, user_movie_pairs)\n",
    "    \n",
    "    # top N 추천\n",
    "    _, top_indices = torch.topk(scores.squeeze(), num_recommendations)\n",
    "    top_movie_indices = user_movie_pairs[1][top_indices] - num_users # 유저 수만큼 offset 재조정\n",
    "    \n",
    "    return top_movie_indices\n",
    "\n",
    "\n",
    "# 영화 features\n",
    "movie_features = torch.from_numpy(np.load(\"final_features_without_directors_0518.npy\")).float()\n",
    "\n",
    "# 새로운 유저가 6076, 9519 영화를 시청했다고 가정\n",
    "new_user_interacted_movies = [6076, 9519] # 점퍼, 메트로폴리스\n",
    "# new_user_interacted_movies = [4887, 5839] # 7번 방의 선물, 세 얼간이\n",
    "# new_user_interacted_movies = [6, 10, 14] # Citizen of a Kind, It's Okay!, Deurim (코미디들)\n",
    "new_user_embedding = create_new_user_embedding(movie_features, new_user_interacted_movies)\n",
    "\n",
    "new_x = torch.cat([new_user_embedding.view(1, -1), movie_features], dim=0)\n",
    "num_users = 1\n",
    "\n",
    "# 유저 - 영화 간 상호작용 edge index로 변환\n",
    "user_indices = [i for i in range(num_users)]\n",
    "movie_indices = [i + num_users for i in new_user_interacted_movies]\n",
    "\n",
    "edge_index = torch.tensor([user_indices * len(movie_indices), movie_indices], dtype=torch.long)\n",
    "\n",
    "node_embeddings = gcn_model(new_x, edge_index)\n",
    "# node_embeddings = torch.cat([node_embeddings[:num_users], node_embeddings[num_users:][comedy_indexs]], dim=0) # 코미디 영화만 추천\n",
    "# print(node_embeddings.shape)\n",
    "\n",
    "# 새로운 유저에 대한 추천 수행\n",
    "num_recommendations = 20\n",
    "top_movies_for_new_user = recommend_movies_for_new_user(\n",
    "    link_predictor=link_predictor, \n",
    "    node_embeddings=node_embeddings, \n",
    "    edge_index=edge_index,\n",
    "    num_recommendations=num_recommendations,\n",
    "    genre_indexs=comedy_indexs)\n",
    "\n",
    "print(f\"Top {num_recommendations} recommended movies for the new user: {top_movies_for_new_user}\")\n",
    "for idx in top_movies_for_new_user:\n",
    "    print(final_metadata.iloc[int(idx)].genres)\n",
    "    print(movie_metadata.iloc[int(idx)].overview)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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