First International Conference on Scalable Information Systems (INFOSCALE), May 29 - June 1 2006, Hong Kong

KEYNOTE SPEAKER

Large-Scale Internet Search at Ask.com
Tao Yang
Chief Scientist and Senior Vice President
Ask.com
Abstract
Search engines have become a central mechanism to deal with the exploding volume of information on the Internet. This talk gives an overview of Ask.com search engine and describes many of challenges faced in seeking relevant answers from billions of documents for tens of millions of users everyday. Particularly, this talk will focus on two areas in search relevancy and scalable system infrastructure, discussing our approaches for result ranking called ExpertRank with real-time subject-specific community clustering and for topology-aware service membership in a giant cluster with thousands of machines.
Biography
Tao Yang is Chief Scientist and Senior Vice President at Ask.com. He was chief scientist and vice president of search development at Ask.com, and the chief scientist and vice president of research and development during Teoma's startup stage. At Ask.com and Teoma, Yang has been directly responsible for scaling search architectures and algorithms to handle billions of documents in terms of relevancy, freshness, and high throughput with low latency. Yang is a co-inventor of the ExpertRank (formally Teoma) search algorithm.

Yang is also a part-time professor of computer science at University of California at Santa Barbara with over 90 technical publications on parallel and distributed systems, Internet search, cluster-based services, and high performance scientific computing. Yang received Ph.D. in computer science from Rutgers University in 1993 and B.S. in computer science from Zhejiang University, China in 1984.

INTERNATIONAL COMMUNICATION SCIENCES AND TECHNOLOGY ASSOCIATION CREATE-NET International Research Center