Reputation-based Recommendation

Reputation-Based Recommendation is a recommendation approach that utilizes the credibility or trustworthiness assessments derived from user or source reputations to prioritize and personalize suggestions, distinguishing it from other methods by its reliance on aggregated reputational evidence as a core criterion for relevance.

70

Publications

3.3K

Citations

183

Authors

99

Institutions

Publications per year

2017–2026

10

Authors

183

  1. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    2 publications · 190 citations

    2

    h-index

  2. JV
    Julita Vassileva

    University of Saskatchewan, Canada

    2 publications · 526 citations

    2

    h-index

  3. JZ
    Jia Zhang

    Southern Methodist University, United States

    2 publications · 29 citations

    2

    h-index

  4. WT
    Wei Tan

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 29 citations

    2

    h-index

  5. WS
    Weisong Shi

    Wayne State University, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 183

Venues

  1. Expert Systems with Applications

    3 publications · 158 citations

    3

    h-index

  2. IEEE Transactions on Services Computing

    2 publications · 143 citations

    2

    h-index

  3. Personal and Ubiquitous Computing

    1 publications · 57 citations

    1

    h-index

  4. Decision Support Systems

    1 publications · 28 citations

    1

    h-index

  5. First Monday

    1 publications · 67 citations

    1

    h-index

1–5