Concepedia

Exploration Tradeoff

Exploration Tradeoff is a decision-theoretic framework in recommendation systems that balances the acquisition of new user preference information through novel item recommendations against the exploitation of known preferences to maximize immediate relevance.

64

Publications

4.2K

Citations

165

Authors

93

Institutions

Publications per year

2017–2026

33

Parents

Publications

64

Exploration–exploitation tradeoff using variance estimates in multi-armed bandits

Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári · Theoretical Computer Science · 2009 · 566 citations

, , +12

The Exploration/Exploitation Tradeoff in Dynamic Cellular Genetic Algorithms

Enrique Alba, Bernabè Dorronsoro · IEEE Transactions on Evolutionary Computation · 2005 · 452 citations

, , +15

Unpacking the exploration–exploitation tradeoff: A synthesis of human and animal literatures.

Katja Mehlhorn, Ben R. Newell, Peter M. Todd et al. · Decision · 2015 · 419 citations · Full text

, , +17

Selective pressure in evolutionary algorithms: a characterization of selection mechanisms

Thomas Bäck · 2002 · 372 citations

, , +15

Recommender Systems as Mechanisms for Social Learning*

Yeon‐Koo Che, Johannes Hörner · The Quarterly Journal of Economics · 2017 · 167 citations

, , +14

1–5 of 64

Authors

165

  1. CJ
    Chi Jin

    University of California, Berkeley, United States

    3 publications · 65 citations

    3

    h-index

  2. MW
    Mengdi Wang

    Princeton University, United States

    3 publications · 67 citations

    3

    h-index

  3. SW
    Siyu Wang

    University of Arizona, United States

    2 publications · 46 citations

    2

    h-index

  4. HM
    Hannah M. Kyllo

    Missouri University of Science and Technology, United States

    2 publications · 46 citations

    2

    h-index

  5. BD
    Bernabè Dorronsoro

    University of Luxembourg, Luxembourg

    2 publications · 473 citations

    2

    h-index

1–5 of 165

Institutions

93

  1. Princeton University

    Princeton, United States

    5 h-index

    6 publications

    178 citations

  2. National University of Singapore

    Singapore, Singapore

    3 h-index

    9 publications

    535 citations

  3. The University of Texas at Austin

    Austin, United States

    3 h-index

    4 publications

    82 citations

  4. Google (United States)

    Mountain View, United States

    3 h-index

    5 publications

    72 citations

  5. University of Minnesota

    Minneapolis, United States

    3 h-index

    1 publications

    22 citations

  6. Microsoft Research (India)

    Bengaluru, India

    2 h-index

    4 publications

    302 citations

  7. University of Pennsylvania

    Philadelphia, United States

    2 h-index

    2 publications

    56 citations

  8. Rice University

    Houston, United States

    2 h-index

    2 publications

    39 citations

1–8 of 93

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 226 citations

    10

    h-index

  2. 2

    h-index

  3. International Conference on Machine Learning

    Conference · 2 publications · 30 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 186 citations

    2

    h-index

  5. eScholarship (California Digital Library)

    Repository · 2 publications · 32 citations

    2

    h-index

1–5