Social Semantic Collaborative Filtering for Digital Libraries

The most popular collaborative filtering implementations require either a critical mass of referenced resources or a lot of active users. Other solutions are based on finding a referral with an expertise on the given domain of discourse. In this article we present the social semantic collaborative filtering solution to information retrieval. We describe how the concept of users' managed collections can be exploited to provide collaborative filtering system based on social network maintained by the users themselves. We present FOAFRealm, a user profile management system based on the social networking and the FOAF metadata. Additionally, FOAFRealm enables distributed collaboration between parties in the social semantic collaborative filtering way.