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
Cite This	Movie Reveiw Generator - Rishabh Thakur, Mehul Rathore, Muskan Rathod - IJFMR Volume 4, Issue 6, November-December 2022. DOI 10.36948/ijfmr.2022.v04i06.987
DOI	https://doi.org/10.36948/ijfmr.2022.v04i06.987
Short DOI	https://doi.org/grb6b6

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International Journal For Multidisciplinary Research