Title:On Several Untypical Information Retrieval and Web Search
Speaker:Dr. Byron J. Gao (Texas State University, USA)
Time:3£º00pm, Friday£¬June 12
Venue:Lecture Room,State Key Lab of Computer Science, Level 3 Building #5, Institute of Software, CAS
Abstract:In the BoBo project, we study the two-box search
paradigm that features
two input boxes on the search interface. Besides a search box taking
search terms as in normal search engines, a domain box is used to take
domain knowledge in the form of keywords. As search terms are inherently
ambiguous, domain terms can be optionally used to route search results
towards a user-intended domain.
In the Cager project, we study cross-page web search. Existing search
engines have page as the unit of retrieval of information. Generally,
given a query as a set Q of keywords, they return a ranked list of web
pages, each containing Q. However, quite often, users wish to have what
we call "cage" as the unit of retrieval. A cage, crossing multiple pages,
is a set of closely related web pages that collectively contain Q.
In the Rant project, we try to provide a framework for mass-collaboration-based
social search. Google (login) and Microsoft (U Rank) are experimenting on search
engines that allow people to organize, edit and annotate search results, as well
as share information with others. Currently there is no much systematic research
on how to interpret, store, preserve, and utilize user preferences.
Biography:Byron J. Gao received his Ph.D. and B.Sc. in Computer
Science from Simon Fraser
University, Canada, in 2007 and 2003 respectively. He was a postdoctoral fellow
at the University of Wisconsin - Madison before joining Texas State
University - San Marcos in 2008, where he currently holds an assistant professor
position. His general areas of research are data mining, databases, information
retrieval, and bioinformatics.