Speaker: Chen Li, University of California, Irvine
Title: Improving Search for Emerging Applications
While Web search engines such as Google have improved their capabilities significantly, many applications are still using solutions like Lucene that were initially designed and developed more than a decade ago. These solutions answer traditional keyword queries reasonably well, but become weak when dealing with the requirements from emerging markets, including mobile applications and location-based services. For instance, mobile users often need to face the "fat fingers problem," i.e., typing on the small interface is hard and error prone. In this talk I will present research results we have developed to meet these requirements. We will discuss our techniques to enable instant search, fuzzy search, and location-based search. We will also demonstrate several prototypes we built using these techniques.
Chen has limited time during his visit but if you'd like to meet with Chen during his visit, please contact Renee Miller.
Chen Li is an associate professor in the Department of Computer Science at the University of California, Irvine. He received his Ph.D.degree in Computer Science from Stanford University in 2001, and his M.S. and B.S. in Computer Science from Tsinghua University, China, in 1996 and 1994, respectively. He received a National Science Foundation CAREER Award in 2003 and many other NSF grants and industry gifts. He was once a part-time Visiting Research Scientist at Google. His research interests are in the fields of data management and information search, including text search, data cleansing, data integration, and data-intensive computing. He is the founder of Bimaple Technology Inc., a company providing hosted powerful search for enterprises and developers.