Exploitation Tradeoff

Exploitation Tradeoff is a decision-making framework in recommendation systems that belongs to the class of tradeoff strategies between leveraging known user preferences to maximize immediate utility and exploring new items to improve long-term performance.

93

Publications

5.4K

Citations

246

Authors

125

Institutions

Publications per year

2017–2026

48

Authors

246

  1. HW
    Huasen Wu

    University of California, Davis, United States

    4 publications · 99 citations

    4

    h-index

  2. CJ
    Chi Jin

    University of California, Berkeley, United States

    4 publications · 83 citations

    4

    h-index

  3. ZY
    Zhuoran Yang

    Princeton University, United States

    3 publications · 68 citations

    3

    h-index

  4. QW
    Qingyun Wu

    University of Virginia, United States

    3 publications · 250 citations

    3

    h-index

  5. XH
    Xi Huang

    ShanghaiTech University, China

    3 publications · 60 citations

    3

    h-index

1–5 of 246

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 430 citations

    13

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 174 citations

    4

    h-index

  3. International Conference on Machine Learning

    Conference · 3 publications · 84 citations

    3

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 2 publications · 85 citations

    2

    h-index

  5. Management Science

    2 publications · 50 citations

    2

    h-index

1–5