NON-COMMERCIAL MOVIE RECOMMENDATION SYSTEM USING MACHINE LEARNING AND USER RATINGS









Abstract

There are many movie recommendation systems which are used in different OTT platforms. These recommendation systems use a variety of algorithms to recommend movies to users, but these platforms use these recommendation algorithms for commercial purposes. The movie data analysis such as Movie Reviews, Likes-Dislikes, Ratings given by user, etc are kept hidden form end users for commercial and promotional purposes. So as we can see there is no Movie recommendation system which is made only for users and not for commercial purposes, The main aim of this project is to make a Movie recommendation platform which uses filtering algorithms and Users Sentiments to give recommendation, also the data analysis related to movie such as Movie Ratings, sentiment analysis, Positive/Negative analysis using comments is open to user. Thus users can see other users Views, Ratings and movie analysis and can freely decide which movie is good to watch and share his views on it.


Modules


Algorithms


Software And Hardware