With the rapid development of social networks and social e-commerce, personalized information need and interests are various and diverse. Personalized services have achieved great success in the past 20 years. Also, there exist challenges of preference diversity and fine-grained interests in the process of user model modeling. The availability of diverse and fine-grained interests presents an unprecedented social e-commerce opportunity and maximizes the user's satisfaction based on user model in social networks. In this talk, I will introduce our recent research efforts on personalized services in social networks, including a neighborhood user model approach for mining personalized user's interests, semantic community discovery and community-based personalized recommendation.
Biography: Dr. Bofeng Zhang is currently a professor researcher and a Ph.D. advisor for the Shanghai University, China. He received the B.S. M.S. and Ph.D. degrees from Northwestern Polytechnical University of Technology, Xi’an, China, in 1991, 1994 and 1997, respectively. He was a visiting professor in the University of Aizu, Japan from Aug. 2006 to Aug. 2007, and was a visiting scholar in Purdue University from Aug. 2006 to Aug. 2007. He has published 3 books, more than 150 research papers in national and international journals and major conference proceedings. He currently serves as Steering Committee member, Workshop Chair, and Program Committee member of several important international conferences, as Member of Editorial Board of “Journal of Shanghai University (English Edition)”. He focuses on the interest fields of intelligent information processing, personalized services, and health information technology.