Movie Recommendation System Considering Multiple Scenarios
Keywords:
Recommendation, Collaborative Filtering , Content-Based Filtering, Demography, Knowledge-Based, UtilityBased, Cloud, mahout.Abstract
The challenges to existing system like Bookmyshow.com are: There is no automation in existing system for
giving notification. We have to browse a website and search for movies. It also does not suggest the movies based on
user preference so we propose a Recommendation system" which gives notification in the form of mail based on analysis
of historical data items. The design of Recommendation system is based on collaborative filtering technique. This system
determine the similarity among a huge collection of data by analyzing historical user data and then extracting hidden
useful information or patterns. This system can be used for recommending many data items to users. We are
implementing Recommendation System for movie recommendation using Mahout. Mahout is such a data mining
framework that normally runs coupled with the Hadoop infrastructure at its background to manage huge volumes of
data. Movie Recommendation systems store user preferences over movies and find the relation between users and movies
based on properties of movies like director, actor, actress, singer or producer etc. Recommendation systems suggest
movies to users based upon the user likes in order to help the users in purchasing movie ticket from a large collection of
movies
