| Hidden factors and hidden topics: understanding rating dimensions with review text |
Julian J. McAuley, Jure Leskovec |
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code |
792 |
| Exploring temporal effects for location recommendation on location-based social networks |
Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu |
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code |
324 |
| Spatial topic modeling in online social media for location recommendation |
Bo Hu, Martin Ester |
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code |
128 |
| Recommendation in heterogeneous information networks with implicit user feedback |
Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han |
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code |
109 |
| Evaluation of recommendations: rating-prediction and ranking |
Harald Steck |
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code |
101 |
| Top-N recommendations from implicit feedback leveraging linked open data |
Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi |
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code |
91 |
| A fast parallel SGD for matrix factorization in shared memory systems |
Yong Zhuang, WeiSheng Chin, YuChin Juan, ChihJen Lin |
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code |
85 |
| Personalized news recommendation with context trees |
Florent Garcin, Christos Dimitrakakis, Boi Faltings |
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code |
82 |
| Hybrid event recommendation using linked data and user diversity |
Houda Khrouf, Raphaël Troncy |
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code |
69 |
| Efficient top-n recommendation for very large scale binary rated datasets |
Fabio Aiolli |
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code |
58 |
| Which app will you use next?: collaborative filtering with interactional context |
Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon |
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code |
58 |
| Location-aware music recommendation using auto-tagging and hybrid matching |
Marius Kaminskas, Francesco Ricci, Markus Schedl |
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code |
57 |
| Learning to rank for recommender systems |
Alexandros Karatzoglou, Linas Baltrunas, Yue Shi |
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code |
57 |
| Improving user profile with personality traits predicted from social media content |
Rui Gao, Bibo Hao, Shuotian Bai, Lin Li, Ang Li, Tingshao Zhu |
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code |
39 |
| Personalized next-song recommendation in online karaokes |
Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu |
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code |
38 |
| Context-aware review helpfulness rating prediction |
Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu |
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code |
37 |
| Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems |
Guibing Guo |
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code |
36 |
| Trading-off among accuracy, similarity, diversity, and long-tail: a graph-based recommendation approach |
Lei Shi |
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code |
36 |
| Sentimental product recommendation |
Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth |
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code |
36 |
| Movie recommender system for profit maximization |
Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely |
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code |
34 |
| Rating support interfaces to improve user experience and recommender accuracy |
Tien T. Nguyen, Daniel Kluver, TingYu Wang, PikMai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl |
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code |
32 |
| xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance |
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
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code |
31 |
| Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection |
Noam Koenigstein, Ulrich Paquet |
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code |
29 |
| ReComment: towards critiquing-based recommendation with speech interaction |
Peter Grasch, Alexander Felfernig, Florian Reinfrank |
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code |
27 |
| Distributed matrix factorization with mapreduce using a series of broadcast-joins |
Sebastian Schelter, Christoph Boden, Martin Schenck, Alexander Alexandrov, Volker Markl |
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code |
27 |
| Diffusion-aware personalized social update recommendation |
Ye Pan, Feng Cong, Kailong Chen, Yong Yu |
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code |
26 |
| Nonlinear latent factorization by embedding multiple user interests |
Jason Weston, Ron J. Weiss, Hector Yee |
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code |
26 |
| Towards scalable and accurate item-oriented recommendations |
Noam Koenigstein, Yehuda Koren |
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code |
26 |
| Escape the bubble: guided exploration of music preferences for serendipity and novelty |
Maria Taramigkou, Efthimios Bothos, Konstantinos Christidis, Dimitris Apostolou, Gregoris Mentzas |
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code |
26 |
| Learning to rank recommendations with the k-order statistic loss |
Jason Weston, Hector Yee, Ron J. Weiss |
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code |
25 |
| Recommending scientific articles using bi-relational graph-based iterative RWR |
Geng Tian, Liping Jing |
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code |
25 |
| Online multi-task collaborative filtering for on-the-fly recommender systems |
Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu |
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code |
24 |
| Selecting content-based features for collaborative filtering recommenders |
Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice |
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code |
24 |
| Query-driven context aware recommendation |
Negar Hariri, Bamshad Mobasher, Robin D. Burke |
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code |
22 |
| Personalised ranking with diversity |
Neil J. Hurley |
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code |
22 |
| DrunkardMob: billions of random walks on just a PC |
Aapo Kyrola |
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code |
22 |
| What to read next?: making personalized book recommendations for K-12 users |
Maria Soledad Pera, YiuKai Ng |
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code |
21 |
| OFF-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings |
Michal Aharon, Natalie Aizenberg, Edward Bortnikov, Ronny Lempel, Roi Adadi, Tomer Benyamini, Liron Levin, Ran Roth, Ohad Serfaty |
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code |
21 |
| Cross social networks interests predictions based ongraph features |
Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, Terence Chen, Tsvi Kuflik |
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code |
21 |
| Orthogonal query recommendation |
Hossein Vahabi, Margareta Ackerman, David Loker, Ricardo BaezaYates, Alejandro LópezOrtiz |
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code |
18 |
| Set-oriented personalized ranking for diversified top-n recommendation |
Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu |
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code |
17 |
| Recommending branded products from social media |
Yongzheng Zhang, Marco Pennacchiotti |
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code |
17 |
| Dynamic generation of personalized hybrid recommender systems |
Simon Dooms |
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code |
16 |
| To personalize or not: a risk management perspective |
Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao |
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code |
16 |
| When power users attack: assessing impacts in collaborative recommender systems |
David C. Wilson, Carlos E. Seminario |
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code |
15 |
| Using maximum coverage to optimize recommendation systems in e-commerce |
Mikael Hammar, Robin Karlsson, Bengt J. Nilsson |
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code |
15 |
| Agent-based computational investing recommender system |
Mona Taghavi, Kaveh Bakhtiyari, Edgar Scavino |
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code |
15 |
| Retargeted matrix factorization for collaborative filtering |
Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh |
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code |
14 |
| Topic diversity in tag recommendation |
Fabiano Belém, Rodrygo L. T. Santos, Jussara M. Almeida, Marcos André Gonçalves |
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code |
14 |
| Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems |
Panagiotis Adamopoulos, Alexander Tuzhilin |
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code |
13 |
| Catch-up TV recommendations: show old favourites and find new ones |
Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska |
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code |
13 |
| An analysis of tag-recommender evaluation procedures |
Stephan Doerfel, Robert Jäschke |
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code |
13 |
| Recommending patents based on latent topics |
Ralf Krestel, Padhraic Smyth |
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code |
13 |
| Beyond rating prediction accuracy: on new perspectives in recommender systems |
Panagiotis Adamopoulos |
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code |
12 |
| Local context modeling with semantic pre-filtering |
Victor Codina, Francesco Ricci, Luigi Ceccaroni |
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code |
12 |
| Accuracy and robustness impacts of power user attacks on collaborative recommender systems |
Carlos E. Seminario |
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code |
10 |
| Clustering-based factorized collaborative filtering |
Nima Mirbakhsh, Charles X. Ling |
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code |
10 |
| You are what you consume: a bayesian method for personalized recommendations |
Konstantinos Babas, Georgios Chalkiadakis, Evangelos Tripolitakis |
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code |
9 |
| Pairwise learning in recommendation: experiments with community recommendation on linkedin |
Amit Sharma, Baoshi Yan |
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code |
9 |
| A food recommender for patients in a care facility |
Toon De Pessemier, Simon Dooms, Luc Martens |
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code |
9 |
| RecSys challenge 2013 |
Jim Blomo, Martin Ester, Marty Field |
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code |
9 |
| Exploratory and interactive daily deals recommendation |
Anísio Lacerda, Adriano Veloso, Nivio Ziviani |
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code |
8 |
| Understanding and improving relational matrix factorization in recommender systems |
Li Pu, Boi Faltings |
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code |
8 |
| Acquiring user profiles from implicit feedback in a conversational recommender system |
Henry Blanco, Francesco Ricci |
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code |
7 |
| A people-to-people content-based reciprocal recommender using hidden markov models |
Ammar Alanazi, Michael Bain |
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code |
7 |
| Improving augmented reality using recommender systems |
Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui |
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code |
6 |
| Differential data analysis for recommender systems |
Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli |
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code |
6 |
| Leveraging the citation graph to recommend keywords |
Ido Blank, Lior Rokach, Guy Shani |
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code |
6 |
| Recommending improved configurations for complex objects with an application in travel planning |
Amihai Savir, Ronen I. Brafman, Guy Shani |
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code |
6 |
| Sage: recommender engine as a cloud service |
Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta HaibyWeiss |
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code |
6 |
| Evolving friend lists in social networks |
Jacob W. Bartel, Prasun Dewan |
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code |
6 |
| Musical recommendations and personalization in a social network |
Dmitry Bugaychenko, Alexandr Dzuba |
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code |
5 |
| Exploiting non-content preference attributes through hybrid recommendation method |
Fernando Mourão, Leonardo Rocha, Joseph A. Konstan, Wagner Meira Jr. |
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code |
5 |
| Probabilistic collaborative filtering with negative cross entropy |
Alejandro Bellogín, Javier Parapar, Pablo Castells |
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code |
4 |
| Design and evaluation of a client-side recommender system |
Chris Newell, Libby Miller |
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code |
4 |
| Recommendation in social networks |
Martin Ester |
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code |
4 |
| Prior ratings: a new information source for recommender systems in e-commerce |
Guibing Guo, Jie Zhang, Daniel Thalmann, Neil YorkeSmith |
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code |
3 |
| Generating supplemental content information using virtual profiles |
Haishan Liu, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin |
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code |
3 |
| PEN RecSys: a personalized news recommender systems framework |
Florent Garcin, Boi Faltings |
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code |
2 |
| Interview process learning for top-n recommendation |
Fangwei Hu, Yong Yu |
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code |
2 |
| Evaluating top-n recommendations "when the best are gone" |
Paolo Cremonesi, Franca Garzotto, Massimo Quadrana |
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code |
2 |
| The curated web: a recommendation challenge |
Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth |
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code |
2 |
| First workshop on large-scale recommender systems: research and best practice(LSRS 2013) |
Tao Ye, Danny Bickson, Quan Yuan |
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code |
1 |
| Not by search alone: how recommendations complement search results |
Daria Dzyabura, Alexander Tuzhilin |
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code |
1 |
| Using geospatial metadata to boost collaborative filtering |
Alexander Ostrikov, Lior Rokach, Bracha Shapira |
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code |
1 |
| Beyond friendship: the art, science and applications of recommending people to people in social networks |
Luiz Augusto Pizzato, Anmol Bhasin |
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code |
1 |
| GAIN: web service for user tracking and preference learning - a smart TV use case |
Jaroslav Kuchar, Tomás Kliegr |
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code |
1 |
| A system for advice provision in multiple prospectselection problems |
Amos Azaria, Sarit Kraus, Ariella Richardson |
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code |
1 |
| Effectiveness of the data generated on different time in latent factor model |
Qianru Zheng, Horace H. S. Ip |
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code |
1 |
| Sample selection for MCMC-based recommender systems |
Thierry Silbermann, Immanuel Bayer, Steffen Rendle |
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code |
0 |
| Anytime algorithms for top-N recommenders |
David BenShimon |
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code |
0 |
| A heterogeneous graph-based recommendation simulator |
Yeonchan Ahn, Sungchan Park, Sangkeun Lee, Sanggoo Lee |
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code |
0 |
| The fifth ACM RecSys workshop on recommender systems and the social web |
Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy |
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code |
0 |
| Tutorial on preference handling |
Alexis Tsoukiàs, Paolo Viappiani |
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code |
0 |