MOVIES RECOMMENDATIONS BY USING MACHINE LEARNING

Author (s) : C.Sindhu, K.Ellammal, Mr.M.Sivabalan, Dr.S.Prabhakaran

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Abstract :
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.

Keywords : movies, machine learning.

Conference Date : 13/11/2020

Pages : 136

Paper ID : 20136