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

Authors

217

  1. RW
    Ryen W. White

    Microsoft (United States), United States

    9 publications · 409 citations

    9

    h-index

  2. AS
    Amanda Spink

    Pennsylvania State University, United States

    4 publications · 1.1K citations

    4

    h-index

  3. EH
    Eric Horvitz

    Microsoft (United States), United States

    4 publications · 141 citations

    4

    h-index

  4. SM
    Steven M. Beitzel

    Illinois Institute of Technology, United States

    3 publications · 252 citations

    3

    h-index

  5. SD
    Susan Dumais

    Microsoft (United States), United States

    3 publications · 212 citations

    3

    h-index

1–5 of 217

Venues

  1. 3

    h-index

  2. Library Resources and Technical Services

    LRTS · 2 publications · 54 citations

    2

    h-index

  3. Information Processing & Management

    2 publications · 826 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 45 citations

    2

    h-index

  5. Knowledge and Information Systems

    1 publications · 14 citations

    1

    h-index

1–5