Improving Social Recommender Systems by utilization of User Communities presentation: http://prezi.com/9b9g0ao-k2ys/?utm_campaign=share&utm_medium=copy&rc=ex0share
This research includes the study of theory and methods needed to create a Recommender System which exploits the information derived from a social graph. Also we outline the design of a platform which locates User Communities that will be used as a tool for achieving the above. The first part of the research analyzes the basic concepts and approaches of Recommender Systems in accordance with the relevant literature. Furthermore we make a study of how such a system can be improved if combined with the field of social networks. Next is the presentation of our own implementation of such a system and finally we describe the integration of our program in an existing personalization system to extend function and improve the accuracy of its results.
SUBJECT AREA: Social Network based Recommender System (SNRS)
KEYWORDS: Personalization, Recommender Systems, Social Network, Community Structure in Networks, Mining Data from Social Graphs