Gloss: A social networks-based recommender system

Nowadays, the development and application of the recommender system has grown greatly to cope with information overloading. Meanwhile, social networh come into being and become more and more popular. In this paper, a recommendation model based on social networks is proposed which can collect the users profile from the feedback and system log, then set up the social networks. According to the input keywords and types of recommender, more recommendation information can be generated. This model has been implemented as a recommendation module in an academic search system Gloss, deployed at the WSI Laboratory of Graduate University of Chinese Academy of Sciences.