Abstract: To find interesting and relevant items or products there is one tool Recommendation System (RS). On the social network site people are interested to share their experience, such as reviews, rating etc. about any items or products, which helps to recommend the items to user interest. In this paper, we discussed importance of Recommendation Systems, various social factors, user interest and methodologies, which influence Personalized Recommendation System. To understand the social networking and user interest can help in creating better models of preference and lead to more effective personalization strategies.
Keywords: Personalized Recommendation System, social network, user interest, matrix factorization.