Movie_Recommendation and Movie-Recommendation-System
Both systems are functional equivalents using identical technical approaches (metadata feature extraction + cosine similarity) to solve the same movie recommendation problem, making them direct competitors rather than complements or ecosystem partners.
Maintenance
13/25
Adoption
1/25
Maturity
9/25
Community
0/25
Maintenance
10/25
Adoption
2/25
Maturity
9/25
Community
0/25
Stars: 1
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 2
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package
No Dependents
No Package
No Dependents
About Movie_Recommendation
Pawan0019/Movie_Recommendation
Content-based movie recommendation system using metadata, NLP techniques, and cosine similarity on TMDB dataset.
About Movie-Recommendation-System
JaweriaAsif745/Movie-Recommendation-System
Movie Recommender using metadata (genres, keywords, cast, director) with CountVectorizer + Cosine Similarity
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