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.
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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.
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