A Community Detection and Recommendation System

Abstract

Recommendation systems play an important role in suggesting relevant information to users. Community-wise social interactions form a new dimension for recommendations. A social recommendation system using community detection approaches is proposed. I will be using community detection algorithm to extract friendship relations among users by analysing user-user social graph. I will be developing the approach using MapReduce framework. This approach will improve scalability, coverage and cold start issue of collaborative filtering based recommendation system.