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anime-recommendation-system

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rusenbb / Anime-Recommender

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A personalized anime recommendation system developed using Python, incorporating both collaborative and content-based approaches. The system utilizes user ratings and anime metadata to provide hybrid recommendations, achieving a RMSE of 0.289, MAE of 0.213, and MSE of 0.084 on the test set.

machine-learning personalization collaborative-filtering matrix-factorization data-analysis content-based-filtering hybrid-approach anime-recommendation-system
  • Updated Dec 26, 2022
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