Paper Details

The challenges to existing system like Bookmyshow.com are: There is no automation in existing system forgiving notification. We have to browse a website and search for movies. It also does not suggest the movies based onuser preference so we propose a Recommendation system" which gives notification in the form of mail based on analysisof historical data items. The design of Recommendation system is based on collaborative filtering technique. This systemdetermine the similarity among a huge collection of data by analyzing historical user data and then extracting hiddenuseful information or patterns. This system can be used for recommending many data items to users. We areimplementing Recommendation System for movie recommendation using Mahout. Mahout is such a data miningframework that normally runs coupled with the Hadoop infrastructure at its background to manage huge volumes ofdata. Movie Recommendation systems store user preferences over movies and find the relation between users and moviesbased on properties of movies like director, actor, actress, singer or producer etc. Recommendation systems suggestmovies to users based upon the user likes in order to help the users in purchasing movie ticket from a large collection ofmovies

Omkar Bendre, Monica Mule, Priyanka Nimbolkar, “Movie Recommendation System Considering Multiple Scenarios”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 13, pp. -, January 2016.