Movie-Recommender-System and Hybrid-recommendation-system-web-application
These are competitors—both implement movie recommendation systems using different filtering approaches (collaborative vs. hybrid content-collaborative), so users would choose one based on their preference for recommendation methodology rather than using them together.
About Movie-Recommender-System
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.
About Hybrid-recommendation-system-web-application
SyedMuhammadHamza/Hybrid-recommendation-system-web-application
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
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