信息系统与物流管理系讲座
2005年5月30日 PM 6:30-7:30
光华楼218教室
Title:
Genetic Programming-based Ranking Function Discovery for Effective Web Search
Abstract:
Web search engines have become an integral part of the daily life of a knowledge worker, who depends on these search engines to retrieve relevant information from the Web or from the company's vast document databases. Current search engines are very fast in terms of their response
time to a user query. But their usefulness to the user in terms of retrieval performance remains to be improved. Typically, the user has to sift through a lot of nonrelevant documents to get only a few relevant ones for the user's information needs. Ranking functions play a very important role
in the search engine retrieval performance. In this paper, we describe a methodology using genetic programming to discover new ranking functions for the Web-based information-seeking task. We exploit the content as well as structural information in the Web documents in the discovery process. The discovery process is carried out for both the ad hoc task and the routing task in retrieval. For either of the retrieval tasks, the retrieval performance of these newly discovered ranking functions has been found to be superior to the performance obtained by well-known ranking strategies in the information retrieval literature.
Bio:
Weiguo (Patrick) Fan is an Assistant Professor of Information Systems and Computer Science at the Virginia Polytechnic Institute and State University.
He received his Ph.D. in Information Systems from the Ross School of Business, University of Michigan, Ann Arbor.His research interests focus on the design and development of novel information technologies - data mining, text/Web mining, business intelligence, personalization and knowledge management techniques – to support better business information management and decision-making. His research has been published in Journal of Management Information Systems, Communications of the ACM, Information Processing and Management, IEEE Transactions on Knowledge and Data Engineering, Information Systems, Decision Support Systems, ACM Transactions on Internet Technology, Journal of Classification, Journal of the American Society on Information Science and Technology, International Journal of Electronic Business, and in conference proceedings such as ICIS, HICSS, AMCIS, WWW, CIKM, JCDL, SIKDD, and SIG
