Movie-Recommendation-System AmirhosseinHonardoust · COMPLETED
Movie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with matrix factorization (TruncatedSVD), and a hybrid approach. Evaluates with Precision@K, Recall@K, and NDCG. Includes rating distribution plots, top movies, and sample recommendations.
github.com/AmirhosseinHonardoust/Movie-Recommendation-System · ★ 31 · Forks 1 · Size 1.6 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 44 files · 53 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
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Python LANGUAGE Depth 70
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pip BUILD_TOOL Depth 80
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PRACTICES
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ACTIVITY & OWNERSHIP
First commit 2025-09-11
Last commit 2026-08-22
Active months 3
Commits 53