Conflict-aware Recommendation

Conflict-Aware Recommendation is a recommendation paradigm that explicitly models and addresses conflicting preferences, goals, or interests among multiple stakeholders by integrating mechanisms to identify, analyze, and resolve such conflicts to achieve more balanced and equitable recommendations.

6

Publications

241

Citations

20

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

20

  1. WW
    Woontack Woo

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 41 citations

    2

    h-index

  2. CS
    Choonsung Shin

    Korea Testing Laboratory, South Korea

    2 publications · 41 citations

    2

    h-index

  3. PX
    Pan Xu

    University of Maryland, College Park, United States

    1 publications · 17 citations

    1

    h-index

  4. YS
    Yexuan Shi

    Beihang University, China

    1 publications · 17 citations

    1

    h-index

  5. HD
    Her‐Sen Doong

    National Chiayi University, Taiwan

    1 publications · 111 citations

    1

    h-index

1–5 of 20

Venues

  1. Knowledge-Based Systems

    1 publications · 57 citations

    1

    h-index

  2. Ubiquitous Computing

    Conference · 1 publications · 12 citations

    1

    h-index

  3. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 15 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 17 citations

    1

    h-index

  5. Journal of Service Research

    JSR · 1 publications · 111 citations

    1

    h-index

1–5