Long-term User Modeling

Long-Term User Modeling is a user profiling approach in personalized search that distinguishes itself by capturing persistent user interests and behaviors over extended periods to enable accurate, context-aware personalization across diverse interactions and temporal spans.

31

Publications

2.3K

Citations

137

Authors

51

Institutions

Publications per year

2017–2026

21

Authors

137

  1. XX
    Xing Xie

    Microsoft Research Asia (China), China

    2 publications · 509 citations

    2

    h-index

  2. VG
    Vicenç Gómez

    Universitat Pompeu Fabra, Spain

    2 publications · 109 citations

    2

    h-index

  3. JK
    Judy Kay

    The University of Sydney, Australia

    2 publications · 34 citations

    2

    h-index

  4. AK
    Andreas Kaltenbrunner

    Barcelona Media, Spain

    2 publications · 109 citations

    2

    h-index

  5. KG
    Kun Gai

    Alibaba Group (China), China

    2 publications · 175 citations

    2

    h-index

1–5 of 137

Venues

  1. 1

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  2. ACM Transactions on Information Systems

    1 publications · 115 citations

    1

    h-index

  3. Electronic Commerce Research and Applications

    1 publications · 13 citations

    1

    h-index

  4. Behaviour and Information Technology

    1 publications · 12 citations

    1

    h-index

  5. Computational Urban Science

    1 publications · 22 citations

    1

    h-index

1–5