Date: Tuesday, June 29, 2010, 5 pm, CS conference room
Title: Web Search with Vertical Result Aggregation
Speaker: Tao Yang, University of California - Santa Barbara
Major search engines have evolved significantly in last few years in blending vertical results to meet diverse search needs of Internet users. This talk discusses advances in web search with vertical result aggregation and experiences with Ask.com search development. It presents an approach in mining vertical web content and ranking results matched from multiple vertical engines. This talk also discusses infrastructure support and high throughput data services for content mining and vertical analysis.
Prof. Tao Yang is a Professor of Computer Science at UCSC. He received the B.S. degree in Computer Science from Zhejiang University, China, in 1984, the M.E. degree in Artificial Intelligence from Zhejiang University in 1987. He received the M.S. and Ph.D. degrees in Computer Science from Rutgers University in 1990 and 1993. He joined the Department of Computer Science at UCSB in 1993. His research has been in the areas of parallel and distributed systems, Internet search, cluster-based services, and high performance scientific computing with over ninety refereed conference and journal papers. He received the Research Initiation Award from NSF in 1994, UC Regents' Junior Faculty Award in 1994, the Computer Science Faculty Teacher Award in 1995 from the UCSB College of Engineering, and the CAREER Award from NSF in 1997, and Noble Jeeviant Award from AskJeeves, 2002.