The Web Intelligence and Social Computing (WISC) Lab focuses on the fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviors on the Internet. Our research topics include, but not limited to web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc.