Search Log Mining

Search Log Mining is a systematic analytical process that belongs to the domain of information retrieval research, distinguished by its focus on extracting patterns, behaviors, and insights from recorded user interactions in search engine logs to enhance search systems, personalization, and user understanding.

214

Publications

15K

Citations

574

Authors

215

Institutions

Publications per year

2017–2026

24

Authors

574

  1. RW
    Ryen W. White

    Microsoft (United States), United States

    15 publications · 1.5K citations

    14

    h-index

  2. AS
    Amanda Spink

    Pennsylvania State University, United States

    10 publications · 1.7K citations

    10

    h-index

  3. EH
    Eric Horvitz

    Microsoft (United States), United States

    10 publications · 687 citations

    10

    h-index

  4. BJ
    Bernard J. Jansen

    Pennsylvania State University, United States

    8 publications · 1.9K citations

    8

    h-index

  5. SD
    Susan Dumais

    Microsoft (United States), United States

    8 publications · 896 citations

    8

    h-index

1–5 of 574

Venues

  1. 9

    h-index

  2. ACM Transactions on Information Systems

    3 publications · 448 citations

    3

    h-index

  3. Information Processing & Management

    3 publications · 941 citations

    3

    h-index

  4. Journal of Documentation

    3 publications · 147 citations

    3

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 67 citations

    2

    h-index

1–5