Malik, Sonika (2022) Movie Recommender System using Machine Learning. EAI Endorsed Transactions on Creative Technologies.
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Abstract
In this research, we propose a movie recommender system that can recommend movies to both new and existing customers. It searches movie databases for all of the relevant data, such as popularity and beauty that is required for a recommendation. We apply both content-based and collaborative filtering
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:45 |
| Last Modified: | 11 Apr 2026 11:44 |
| URI: | http://eprints.eai.eu/id/eprint/40717 |
