Basic Movie Recommendation Web Application using user-item collaborative filtering.
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Updated
Jul 18, 2022 - HTML
Basic Movie Recommendation Web Application using user-item collaborative filtering.
This is a simple movie recommendation modal deployed on Heroku.
A Movie Recommender System which uses collaborative filtering techniques and matrix factorization to recommend movies to the user.
A web application which recommends movies to the user.
A Movie Recommendation System using Collaborative Filtering Techniques
This Movie Recommender System is designed to recommend movies to users based on their preferences. It utilizes various Python libraries such as Pandas, Numpy, and custom Streamlit components for an interactive experience. The system has two primary recommendation mechanisms: genre-based recommendations and personalized recommendations using IBCF
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