Concepedia

Implicit Preference Learning

Implicit Preference Learning is a machine learning framework that infers user preferences from indirect behavioral signals, such as clicks or dwell times, rather than explicit ratings, by modeling the underlying latent structure of observed interactions to predict unobserved user-item affinities.

28

Publications

1.4K

Citations

96

Authors

48

Institutions

Publications per year

2017–2026

14

Parents

Publications

28

Easier done than undone: Asymmetry in the malleability of implicit preferences.

Aiden P. Gregg, Beate Seibt, Mahzarin R. Banaji · Journal of Personality and Social Psychology · 2006 · 417 citations

, , +10

Changes in Odor Sweetness Resulting from Implicit Learning of a Simultaneous Odor-Sweetness Association: An Example of Learned Synesthesia

Richard J. Stevenson, Robert A. Boakes, John Prescott · Learning and Motivation · 1998 · 241 citations

, , +17

Implicit Learning and Dyslexia

Vasiliki Folia, Julia Uddén, Christian Forkstam et al. · Annals of the New York Academy of Sciences · 2008 · 76 citations · Full text

, , +15

The language of implicit preferences

Oludamini Ogunnaike, Yarrow Dunham, Mahzarin R. Banaji · Journal of Experimental Social Psychology · 2010 · 67 citations · Full text

, , +3

Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning

Wenhui Yu, Zheng Qin · 2020 · 54 citations

, , +14

1–5 of 28

Authors

96

  1. WP
    Weike Pan

    Shenzhen University, China

    2 publications · 44 citations

    2

    h-index

  2. MR
    Mahzarin R. Banaji

    Harvard University, United States

    2 publications · 484 citations

    2

    h-index

  3. JA
    Jordan Alexander

    University of California, Berkeley, United States

    1 publications · 15 citations

    1

    h-index

  4. FS
    Fei Shi

    Shanghai Jiao Tong University, China

    1 publications · 30 citations

    1

    h-index

  5. RB
    Rafael Bidarra

    Delft University of Technology, Netherlands

    1 publications · 21 citations

    1

    h-index

1–5 of 96

Institutions

48

  1. Peking University

    Beijing, China

    2 h-index

    3 publications

    62 citations

  2. Shenzhen University

    Shenzhen, China

    2 h-index

    6 publications

    120 citations

  3. Tsinghua University

    Beijing, China

    2 h-index

    4 publications

    138 citations

  4. Microsoft (United States)

    Redmond, United States

    2 h-index

    3 publications

    98 citations

  5. Radboud University Nijmegen

    Nijmegen, The Netherlands

    1 h-index

    5 publications

    380 citations

  6. Microsoft Research Asia (China)

    Beijing, China

    1 h-index

    4 publications

    64 citations

  7. University of Oslo

    Oslo, Norway

    1 h-index

    3 publications

    45 citations

  8. University of Bremen

    Bremen, Germany

    1 h-index

    2 publications

    38 citations

1–8 of 48

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 98 citations

    3

    h-index

  2. Journal of Experimental Social Psychology

    2 publications · 97 citations

    2

    h-index

  3. 1

    h-index

  4. Annals of the New York Academy of Sciences

    1 publications · 76 citations

    1

    h-index

  5. Information Sciences

    1 publications · 16 citations

    1

    h-index

1–5