Group-Based Movie Recommendation System

Abstract

A recommendation system can be defined as a content-filtering system thatattempts to predict the likes or dislikes of a user. In the past many companies likeAmazon, Google, Netflix etc. have come up with competitive and efficient recom-mendation systems based on users past activities or profiles. The problem at handis to provide recommendations based on a group of individuals. The requirementfor such a system arises as people engage in various group activities. For example agame of cards, going out on a picnic, watching movies etc. During such activities,existing recommendation systems will provide recommendations based on only oneindividual which may or may not be enjoyable for the rest of the group. To solvethese issues, I have designed a group-based recommendation for movies