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.

Movie_Recommendation
23
Experimental
Movie-Recommendation-System
21
Experimental
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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