Future of the Web and Search
Time: July 25, 2011 Monday 09:00-10:00
President of Microsoft's Online Services Division
No one doubts that we have only scratched the surface of what is possible with the Web. The day is coming fast when the Web will become almost a virtual mind reader. Your intent, interests, and needs will be instantly perceived and the information you want will be promptly delivered -- whether you ask for it directly or not -- based on a deep understanding of the meaning of words in your query, knowledge of your preferences and patterns, what others have done before you, your location, and more. In this talk, I will share some of my thoughts about where the Web is heading and how search will be transformed to align to this new Web, laying out some specifics behind Microsoft's vision to empower people with knowledge.
About the speaker
As president of Microsoft's Online Services Division (OSD), Dr. Qi Lu leads the company's search and online advertising efforts. Dr. Lu oversees the OSD Research & Development team which has responsibility for the evolution of Microsoft's search, portal and advertising services; the Online Audience Business Group; and the Advertiser and Publisher Solutions Business Group. Dr. Lu reports to Microsoft chief executive officer Steve Ballmer.
Prior to joining Microsoft, Dr. Lu spent 10 years as a Yahoo! senior executive. His roles included serving as the executive vice president of engineering for the company's Search and Advertising Technology Group where he oversaw the development of Yahoo!'s Web search and monetization platforms and vice president of engineering responsible for the technology development of Yahoo!'s search, e-commerce and local listings of businesses and products.
Before joining Yahoo!, Dr. Lu worked as a research staff member at IBM's Almaden Research Center and Carnegie Mellon University and was a faculty member at Fudan University in China. He received his bachelor of science and master of science in computer science from Fudan University and his Ph.D. in computer science from Carnegie Mellon University. Dr. Lu holds 20 U.S. patents.
Beyond Search: Statistical Topic Models for Text Analysis
Time: July 26, 2011 Tuesday 08:45-10:00
Department of Computer Science
University of Illinois at Urbana-Champaign
Urbana, IL, USA
Search is generally a means to the end of finishing a task. While the current search engines are useful to users for finding relevant information, they offer little help to users for further digesting and analyzing the overwhelming found information needed for finishing a complex task. In this talk, I will discuss how statistical topic models can be used to help users analyze and digest the found relevant information and turn search results into actionable knowledge needed to complete a task. I will present several general statistical topic models for extracting and analyzing topics and their patterns in text, and show sample applications of such models in tasks such as opinion integration, comparative summarization, contextual topic trend analysis, and event impact analysis. The talk will conclude with a discussion of novel challenges raised in extending a search engine to an analysis engine that can go beyond search to provide more complete support for users to finish their tasks.
About the speaker
ChengXiang Zhai is an Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign, where he also holds a joint appointment at the Graduate School of Library and Information Science, Institute for Genomic Biology, and Department of Statistics. 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 a Senior Research Scientist from 1997 to 2000. His research interests include information retrieval, text mining, natural language processing, machine learning, and bioinformatics. He is an Associate Editor of ACM Transactions on Information Systems, and Information Processing and Management, and serves on the editorial board of Information Retrieval Journal. He is a program co-chair of ACM CIKM 2004, NAACL HLT 2007, and ACM SIGIR 2009. He is an ACM Distinguished Scientist and the recipient of an Alfred P. Sloan Research Fellowship, IBM Faculty Award, ACM SIGIR 2004 Best Paper Award, and a Presidential Early Career Award for Scientists and Engineers (PECASE).