International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Movie Reveiw Generator

Author(s) Rishabh Thakur, Mehul Rathore, Muskan Rathod
Country India
Abstract This Android app will help the people to know about Semantics of the movies. In this project, we propose a Movie Recommendation System by combining Naive Bayes Algorithm with Collaborative filtering. The recommendation system is able to predict the everchanging area of interest or tastes of users about the movies. In this project, we propose a Movie Recommendation System by combining Naive Bayes Algorithm with Collaborative filtering. The recommendation system is able to predict the everchanging area of interest or tastes of users about the movies.
Keywords Trend, new, top rating
Field Arts > Movies / Music / TV
Published In Volume 4, Issue 6, November-December 2022
Published On 2022-11-10
DOI https://doi.org/10.36948/ijfmr.2022.v04i06.987
Short DOI https://doi.org/grb6b6
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E-ISSN 2582-2160
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