User Profiling System Using social Networks for Recommendation

In this paper, we propose a user profiling system using social networks for recommendation. Recent development of information technologies produces a lot of community services. SNS (Social Network Service) is one of the community services on the world wide webs. On the other hand, the recommendation algorithms arc one of the best known topics for their use on various kinds of web sites these days. The purpose of the proposed system is the web contents recommendation to users in social network services. The main idea of the proposed system is the interpolation of profile data by the data of other users who are linked with the focused user. Thc proposed system is one of the contents delivery systems, which employs information filtering system. The proposed system consists of the following two stages; (1) Learning profile data; (2) Filtering contents by profile data, In the first stage, the profile data are learned with the behavior of the user and the profile data of the other users. When the learned profile data are used in the second stage, proper information are filtered.