(Enter summary)
Abstract: There have been recent interests in studying the "goal" behind
a user's Web query, so that this goal can be used to improve
the quality of a search engine's results. Previous studies
have mainly focused on using manual query-log investigation
to identify Web query goals. In this paper we study
whether and how we can automate this goal-identification
process. We first present our results from a human subject
study that strongly indicate the feasibility of automatic
query-goal identification. We... (Update)
Cited by: More
Automatic Identification of User Goals in Web Search - Lee, Liu, Cho (2005)
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BibTeX entry: (Update)
U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web search. Technical report, UCLA Computer Science, 2004. http://citeseer.ist.psu.edu/lee05automatic.html More
@misc{ lee04automatic,
author = "U. Lee and Z. Liu and J. Cho",
title = "Automatic identification of user goals in web search",
text = "U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web
search. Technical report, UCLA Computer Science, 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/lee05automatic.html" }
Citations (may not include all citations):
2177
Programs for Machine Learning (context) - Quinlan - 1993
641
The anatomy of a large-scale hypertextual Web search engine
- Brin, Page - 1998
576
Authoritative sources in a hyperlinked environment
- Kleinberg - 1999
205
An Introduction to Support Vector Machines (context) - Cristianini, Shawe-Taylor - 2000
111
Probability and Statistics for Engineering and the Sciences (context) - Devore - 2004
82
Topic-sensitive PageRank
- Haveliwala - 2002
55
Grouper: a dynamic clustering interface to web search result..
- Zamir, Etzioni - 1999
30
Overview of the TREC (context) - Hawking, Craswell - 2001
29
Agglomerative clustering of a search engine query log
- Beeferman, Berger - 2000
25
Analysis of a very large Web search engine query log (context) - Silverstein, Henzinger et al. - 1999
24
A taxonomy of Web search (context) - Broder - 2002
19
Finding replicated web collections
- Cho, Shivakumar et al. - 2000
19
Query routing for web search engines: Architecture and exper.. (context) - Sugiura, Etzioni - 2000
19
and real needs: A study and analysis of user queries on the .. (context) - Jansen, Spink et al. - 2000
16
ective site finding using link anchor information (context) - Craswell, Hawking et al. - 2001
15
Retrieving web pages using content (context) - Westerveld, Kraaij et al. - 2001
14
Combating web spam with trustrank (context) - Gyongyi, Garcia-Molina et al. - 2004
13
Cha-Cha: A system for organizing intranet search results
- Chen, Hearst et al. - 1999
11
Commerce: Web search changes (context) - Spink, Jansen et al. - 2002
10
Mathematical Statistics with Applications (context) - Wackerly, Schea - 2002
9
Analysis of anchor text for Web search
- Eiron, McCurley - 2003
9
A review of Web searching studies and a framework for future..
- Jansen, Pooch - 2001
8
Learning to cluster web search results
- Zeng, He et al. - 2004
8
Scenttrails: Integrating browsing and searching on the world..
- Olston, Chi - 2003
8
Understanding user goals in Web search
- Rose, Levinson - 2004
6
the Web: A study of host pairs with replicated content (context) - Bharat, Broder et al. - 1999
6
How Internet experts search for information on the Web (context) - Hoelscher - 1998
6
Mining anchor text for query refinement
- Kraft, Zien - 2004
4
Searches per day (context) - Sullivan - 2003
3
Query type classification for web document retrieval
- Kang, Kim - 2003
3
Finding relevant Website queries
- Davison, Deschenes et al. - 2003
3
Automatic identification of user goals in web search
- Lee, Liu et al. - 2004
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