Dr. Clement Yu

Department of Computer Science

University of Illinois at Chicago

Time : Wednesday, April 03,  2:00 p.m.

Location: SB 239

 

Efficient and Effective Metasearch engines

 

Abstract

It is now a common practice for ordinary people to utilize search engines to retrieve information from the Web. Although quite a few existing engines are very powerful, none of them is capable of covering most materials from the Web. Thus, it may be desirable to have a metasearch engine which invokes multiple underlying search engines for a given query so that a higher coverage of the Web is achieved. In order that the metasearch engine is efficient, a small number of search engines should be invoked for a given query and only promising documents are retrieved from each invoked search engine. An effective metasearch engine needs to take into consideration not only similarities of documents but also usefulness of documents which may be exhibited by linkages among documents. In this talk, we present techniques to construct an efficient and effective metasearch engine. We also sketch research issues including the use of metasearch engines for comparative shopping.

Short Bio of the speaker

Dr. Clement Yu is a professor of Computer Science at the University of Illinois at Chicago. He obtained the B.S. degree in Applied Mathematics from Columbia University and the Ph.D. degree in Computer Science from Cornell University. He serves/served as an associate editor/ member of editorial board of IEEE Transactions On Knowledge and Data Engineering, Journal of Distributed and Parallel Databases, International Journal of Software Engineering and Knowledge Engineering, and WWW Internet and Web Information System. He also served as chair of the ACM Special Interest Group on Information Retrieval, program chair/general chair of a number of conferences/workshops and as an advisory committee member of the National Science Foundation. His research areas are information (multimedia) retrieval and database management.