【学术报告】bw必威西汉姆联官网兼职教授翟成祥博士聘任仪式暨学术报告

发布时间:2008-07-06浏览次数:5797

bw必威西汉姆联官网兼职教授聘任仪式暨学术报告

报告人:翟成祥 博士

时 间:2008年7月8日(周二)上午9:00

地 点:蒙民伟楼109室

Title:  Towards Next-Generation Search Engines

Abstraction:

With the rapid growth of online information, search engines are becoming more and more important in our daily lives. Although the current-generation search engines are very useful for overcoming information overload, they are limited in many ways, such as lack of user modeling and inadequate support for digesting search results. In this talk, I will present two lines of recent research work of the Text Information Management group at the University of Illinois at Urbana-Champaign that aim at developing novel models and algorithms to enable the next-generation search engines to break these limitations. In one line of the work, I will present a decision-theoretic framework and statistical language models for personalized search and show that search accuracy can be improved significantly through using a user's search history. In the other line, I will present a general probabilistic topic model for contextual text mining and show that the model can be used to analyze search results in many interesting ways to reveal subtopics and their variations over various context such as time and location.

ChengXiang Zhai is an Assistant Professor of Computer Science at the University of Illinois at Urbana-Champaign, where he also holds a joint appointment at the Institute for Genomic Biology, Statistics, and the Graduate School of Library and Information Science. He received a Ph.D. in Computer Science from Nanjing University in 1990, and a Ph.D. in Language and Information Technologies from Carnegie Mellon University in 2002. He worked at Clairvoyance Corp. as a Research Scientist and, later, a Senior Research Scientist from 1997 to 2000. His research interests include information retrieval, text mining, natural language processing, machine learning, and bioinformatics. He serves on the editorial boards of ACM Transactions on Information Systems and Information Retrieval Journal , and is a program co-chair of ACM CIKM 2004 , NAACL HLT 2007, and ACM SIGIR 2009. He received an NSF CAREER Award in 2004, the ACM SIGIR 2004 Best Paper Award, and the 2004 Presidential Early Career Award for Scientists and Engineers (PECASE) (nominated by NSF).