GitHub / devidutta-learn / movie-recommender-system
This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
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Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.94 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: content-based-filtering, cosine-similarity, machinelearning-python, movie-recommendation-system, tmdb-data