A Novel Movie Recommendation System Based on Collaborative Filtering and Content-Based Filtering

Authors

  • Avantika Mane Department of Computer Science, Himachal Pradesh University, Shimla.

Keywords:

Movie Recommendation System, Collaborative Filtering, Ott Movie Application

Abstract

This work proposes a collaborative approach-based Movie
Recommendation system that improves existing methods by considering
movie content information during item similarity calculations. The
system recommends the top n movies based on user preferences and
provides a graphic representation of the percentage of viewed movies
and recommended movies. This system is suitable for OTT platforms,
search engines, articles, music, videos.

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Published

2023-08-18