asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Implements matrix factorization algorithms to decompose user-item rating matrices and identify latent factors for personalized recommendations. Built with Django for the web interface and NumPy/Pandas/SciPy for computational operations, backed by SQLite for storing user ratings and movie metadata. Features interactive rating and recommendation pages where users can rate movies and receive suggestions based on collaborative patterns across the user base.
223 stars. No commits in the last 6 months.
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HTML
License
Apache-2.0
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Last pushed
Jul 18, 2022
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