Search Log Classification
Search Log Classification is a methodological construct in information retrieval that systematically categorizes user search queries and interaction behaviors extracted from search engine logs into predefined semantic or functional classes to facilitate the analysis of search intent, user behavior, and system performance.
76
Publications
5.6K
Citations
217
Authors
96
Institutions
Publications per year
2017–2026
7
Parents
76
Understanding user goals in web search
Daniel E. Rose, Danny Levinson · 2004 · 941 citations
Personalized Search Based on User Search Histories
M. Speretta, Susan Gauch · 2005 · 381 citations
How much can behavioral targeting help online advertising?
Jun Yan, Ning Liu, Gang Wang et al. · 2009 · 366 citations
Business, Marketing, Advertising +16
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217
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Microsoft (United States)
Redmond, United States
12 h-index
34 publications
1.5K citations
Yahoo (United States)
Sunnyvale, United States
7 h-index
17 publications
1.3K citations

Queensland University of Technology
Brisbane, Australia
3 h-index
3 publications
248 citations
Amsterdam University of the Arts
Amsterdam, The Netherlands
3 h-index
8 publications
288 citations
Yahoo (United Kingdom)
London, United Kingdom
3 h-index
9 publications
166 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
6 publications
754 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
8 publications
288 citations
University of Michigan
Ann Arbor, United States
3 h-index
9 publications
379 citations
1–8 of 96
JASIST · 3 publications · 147 citations
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h-index
LRTS · 2 publications · 54 citations
2
h-index
2 publications · 826 citations
2
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2 publications · 45 citations
2
h-index
1 publications · 14 citations
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