Personalized Search Interfaces

Personalized Search Interfaces is a type of search interface system that dynamically adapts its content, structure, and functionality based on individual user characteristics, behaviors, and preferences to enhance information retrieval effectiveness and user experience.

30

Publications

1.3K

Citations

94

Authors

43

Institutions

Publications per year

2017–2026

3

Authors

94

  1. JT
    Jaime Teevan

    Microsoft (United States), United States

    2 publications · 131 citations

    2

    h-index

  2. JK
    Jonathan Koren

    University of California, Santa Cruz, United States

    1 publications · 148 citations

    1

    h-index

  3. WW
    Wentao Wu

    ETH Zurich, Switzerland

    1 publications · 33 citations

    1

    h-index

  4. PP
    Pearl Pu

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 70 citations

    1

    h-index

  5. NF
    Nigel Ford

    University of Sheffield, United Kingdom

    1 publications · 31 citations

    1

    h-index

1–5 of 94

Venues

  1. Journal of the Association for Information Systems

    JAIS · 1 publications · 11 citations

    1

    h-index

  2. International Conference on Internet Computing

    Conference · 1 publications · 22 citations

    1

    h-index

  3. ACM Transactions on Information Systems

    1 publications · 161 citations

    1

    h-index

  4. Universal Research Reports

    1 publications · 18 citations

    1

    h-index

  5. American libraries

    1 publications · 14 citations

    1

    h-index

1–5