Build a recommendation engine which suggests similar products (apparel) to the given product (apparel) in any e-commerce websites based on the implict data i.e when they type the title, brand, type etc produce recommendations.
Personalized product recommendations are the alternative way of navigating through the online shop. More people find products they need. Even if they didn’t think of them.
Build a recommendation engine which suggests similar products to the given product in any e-commerce websites ex. Amazon.com, myntra.com etc.
The recommendation engine, uses information about 1,80,000 products and each product will have multiple features named
- Title of the product
- Brand of the product
- Color of the product
- Type of the product
- Image of the apparel , etc... Data Source : amazon.com
You need to have installed following softwares and libraries before running this project.
Python 3: https://www.python.org/downloads/
Anaconda: https://www.anaconda.com/download/
- scikit-learn: scikit-learn is a Python module for machine learning built on top of SciPy.
pip install scikit-learn conda install -c anaconda scikit-learn
- scipy: SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
pip install scipy conda install -c anaconda scipy