A Survey of Personalized Recommendation System with User Interest in Social Network

نویسنده

  • Anil Rathod
چکیده

Recommendation System (RS) is the tool, which helps to find interesting and relevant items or products. With the dawn of social network and its attractiveness, people are interested to share their experience, such as rating, reviews, etc. which helps to recommend the items of user interest. The potential growth of the internet results the use of social networks such as Facebook, Twitter, linked-in etc. which produces huge amount of information (data), which leads to overwhelming. To overcome overwhelming, Personalized Recommendation System have been expansively used. In this paper, we discussed importance of Recommendation Sytems, different methodologies and social factors, which influence Personalized Recommendation System.

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تاریخ انتشار 2015