User Recommendation System using Markov Model in Social Networks

Abstract

Today’s world is a social world. Recommending resources in social networking is very common thing. There are various methods available to recommend friend, music, video, items in social networks. The users look at the web as a place where they can find an individual or group of people with the same or similar interests, or even find new friends. And many times the recommendation system used in social networks suggests users about these resources. We want to apply Markov models and their variations for addressing this problem. It is generally found that higher order Markov models display high predictive accuracy. General Terms Markov model, Recommendation system, Social network, Transition Probability Matrix