Speaker Yanen Li
Affiliation University of Illinois
Host Kuansan Wang
Date recorded 3 March 2014
Search technologies have significantly transformed the way people seek information and acquire knowledge from the internet. To further improve the search accuracy and usability of the current-generation search engines, one of the most important research challenges is to understand a user's intent or information need underlying the query. However, understanding a query in the form of plain text is a non-trivial task. In this talk I will first introduce a framework in which a query is interpreted and represented in multiple levels. Then I will briefly overview our efforts on addressing key research questions from query string, query syntactic, to query semantic understanding. In the rest of the talk I will present our recent work on dynamic query understanding in the query auto-completion process, in which we aim at predicting query representation given only a short prefix.
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