Search Query Disambiguation from Short Sessions

author: Lilyana Mihalkova, The University of Texas at Austin
author: Raymond J. Mooney, Department of Computer Sciences, The University of Texas at Austin
published: Dec. 20, 2008,   recorded: December 2008,   views: 372
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. However, most existing work relies on the existence of search engine log data in which each user's search activities are recorded over long periods of time. Such approaches may raise privacy concerns and may be difficult to implement for pragmatic reasons. In this work, we present an approach to Web query disambiguation that bases its predictions only on a short glimpse of user search activity, captured in a brief session of about 5--6 previous searches on average. Our method exploits the relations of the current search session in which the ambiguous query is issued to previous sessions in order to predict the user's intentions and is based on Markov logic. We present empirical results that demonstrate the effectiveness of our proposed approach on data collected form a commercial general-purpose search engine.

See Also:

Download slides icon Download slides: bsciw08_mihalkova_sqdss_01.ppt (384.5 KB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: