GitHub / forum-bhatt / Content-based-Movie-Recommendation
Content-based recommendation engine using Python and Scikitlearn, using concepts of Cosine distance and Euclidean distance. Finally, by using IMDB 5000 movie dataset built a content-based recommendation engine using CountVectorize and Cosine similarity scores between movies.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/forum-bhatt%2FContent-based-Movie-Recommendation
PURL: pkg:github/forum-bhatt/Content-based-Movie-Recommendation
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 5.86 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago
Topics: cosine-distance, cosine-similarity, count-vectorizer, euclidean-distances, python, scikit-learn