Implicit Social Feedback

Implicit Social Feedback is a recommendation system input construct that captures users' indirect, behavior-derived indicators of social influence or relational affinity, such as co-following patterns or temporal interaction proximities, without explicit declarations of social connections or preferences.

26

Publications

1.3K

Citations

103

Authors

62

Institutions

Publications per year

2017–2026

12

Authors

103

  1. AS
    Aixin Sun

    Nanyang Technological University, Singapore

    2 publications · 98 citations

    2

    h-index

  2. JZ
    Jie Zhang

    Nanyang Technological University, Singapore

    2 publications · 98 citations

    2

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  3. YL
    Yong Liu

    Nanyang Technological University, Singapore

    2 publications · 98 citations

    2

    h-index

  4. CM
    Chunyan Miao

    Nanyang Technological University, Singapore

    2 publications · 98 citations

    2

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  5. XZ
    Xin Zhou

    Nanyang Technological University, Singapore

    2 publications · 98 citations

    2

    h-index

1–5 of 103

Venues

  1. ACM Transactions on Recommender Systems

    1 publications · 86 citations

    1

    h-index

  2. IEEE Communications Letters

    1 publications · 13 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 75 citations

    1

    h-index

  4. Journal of Computer Science and Technology

    1 publications · 26 citations

    1

    h-index

  5. 1

    h-index

1–5