Abstract Proceedings of ICIRESM – 2019
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MOVIES RECOMMENDATIONS BY USING MACHINE LEARNING
The primary aim of recommendation systems is to recommend applicable objects to a consumer-based totally on ancient data. If a movie is rated excessive by means of a consumer who also watched the movie you are watching now, it's miles possibly to show up inside the recommendations. The films with the highest overall scores are in all like hood to be enjoyed by way of nearly everyone. The algorithm which does all these features is called Cine Match. For personal users, it also learns from the conduct of the person to higher expect a movie the consumer is anticipated to be fascinated in. Here we have to increase our Cine Match algorithm 10% by using fashionable collaborative filtering techniques.
Machine learning, Movie recommendation
30/08/2019
316
19307
IMPORTANT DAYS
Paper Submission Last Date
September 27th, 2025
Notification of Acceptance
October 25th, 2025
Camera Ready Paper Submission & Author's Registration
November 11th, 2025
Date of Conference
November 28th, 2025