🎬 This repository focuses on building a personalized movie recommender system for ZEE5 using collaborative filtering, content-based methods, and matrix factorization, Pearson correlation, Suprise SVD techniques to deliver accurate, user-relevant recommendations & evaluated through NDCG, MRR, MAPE
collaborative-filtering matrix-factorization recommendation-system cosine-similarity ndcg-evaluation pearson-correlation knn-algorithm pandas-python mrr svd-matrix-factorisation suprise mape numpy-python cmfrec
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Updated
Dec 17, 2025 - Jupyter Notebook