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ZED: Explaining Temporal Variations in Query Volume Maojin Jiang1
 

Summary: ZED: Explaining Temporal Variations in Query Volume
Maojin Jiang1
, Shlomo Argamon1
, Abdur Chowdhury2
and Kush Sidhu2
1
Laboratory of Linguistic Cognition, Illinois Institute of Technology, Chicago, USA
jianmao@iit.edu, argamon@iit.edu
2
America Online, Inc., USA
Cabdur@aol.com, KSidhu35@aol.com
Abstract. We hypothesize that the variance in volume of high-velocity queries
over time can be explained by observing that these queries are formulated in re-
sponse to events in the world that users are interested in. Based on it, this paper
describes a system, ZED, which automatically finds explanations for high ve-
locity queries, by extracting descriptions of relevant and temporally-proximate
events from the news stream. ZED can thus provide a meaningful explanation of
what the general public is interested in at any time. We evaluated performance
of several variant methods on top velocity "celebrity name" queries from Yahoo,
using news stories from several sources for event extraction. Results bear out the

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences