Link Recommendation System based On Lifestyles Of Users

Tofik R. Kacchi; Prof. Anil V. Deorankar

Volume : VI, Issue : V, May - 2016

Link Recommendation System based On Lifestyles Of Users

Tofik R. Kacchi, Prof. Anil V. Deorankar

Abstract :

In this paper, we have proposed and presented a literature survey using link recommendation system based on lifestyles of users which include the different techniques, concepts and ideas used in the process of recommendation. Social networking sites indicate friend recommendation systems in aid to providing better user experiences. Online friend recommendation is a rapid emerging topic in web mining. Recent social networking services suggest friends to users based on their social graphs and mutual friends. Every friend recommendation system is using different factors for recommending friends. These factors may include social graph, tastes, blood group, moral standards, nearby–location, habits, attitudes, profession, etc. But different challenges in the process of recommendation may arise like how to recommend a good friend (according to need) to the user, how to preserve user’s privacy, how to get one’s interest without one’s specification which one need to overcome.