Movie Recommendation System Using Machine Learning
Author(s):
Ayush Pandey, Ananya Sharan , Vibhanshu Mishra , Richa Gupta, Ms Charu Tyagi
Keywords:
System , Filtering , Approach , Memory based, Content based approach , Hybrid approach .
Abstract
This research paper represents the techniques and approaches which are used in the movie recommendation system.As we are very well aware about the fact that extracting meaningful data from the homogenous amount of raw data is a challenging problem and recommendation systems helps us in this situation. Recommendation system plays a very important role in our day to day life as it provides suggestions based on some data sets to users for certain resources such as movies, books, songs, etc .Recommendation systems are very fruitful for various organizations as large amount of data is being collected from various customers and after extracting the data’s it provides best suggestions. Movie recommendation systems is helping peoples who are fond of watching movies by providing suggestions for what movie to go with without going through the large set of movies data . To reduce the human efforts by providing suggestions of movies based on the user interest is our main moto. Recommendation system is based on three approaches : first one is Collaborative Filtering, second one is Content based and third one is hybrid based Approach
Article Details
Unique Paper ID: 152068

Publication Volume & Issue: Volume 8, Issue 2

Page(s): 336 - 339
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