Concepedia

Preference Learning

Preference Learning is a machine learning paradigm that models user preferences by inferring latent utility functions from comparative or ranked feedback, distinguishing it from other user modeling approaches through its focus on relational judgments rather than absolute relevance scores.

510

Publications

25.3K

Citations

1.4K

Authors

542

Institutions

Publications per year

2017–2026

217

Parents

Publications

510

An Efficient Boosting Algorithm for Combining Preferences

Yoav Freund, Raj D. Iyer, Robert E. Schapire et al. · 1998 · 815 citations

, , +16

Label ranking by learning pairwise preferences

Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng et al. · Artificial Intelligence · 2008 · 536 citations

, , +10

A New Dataset and Method for Automatically Grading ESOL Texts

Helen Yannakoudakis, Ted Briscoe, Ben Medlock · 2011 · 481 citations

, , +17

Query chains

Filip Radlinski, Thorsten Joachims · 2005 · 478 citations

, , +17

Latent class models for collaborative filtering

Thomas Hofmann, Jan Puzicha · 1999 · 420 citations

, , +16

1–5 of 510

Authors

1.4K

  1. EH
    Eyke Hüllermeier

    Philipps University of Marburg, Germany

    15 publications · 1.1K citations

    13

    h-index

  2. GN
    Georgios N. Yannakakis

    IT University of Copenhagen, Denmark

    10 publications · 724 citations

    10

    h-index

  3. DS
    Dorsa Sadigh

    Stanford University, United States

    6 publications · 400 citations

    6

    h-index

  4. TJ
    Thorsten Joachims

    Cornell University, United States

    6 publications · 664 citations

    6

    h-index

  5. WC
    Weiwei Cheng

    Nanjing University of Finance and Economics, China

    6 publications · 795 citations

    6

    h-index

1–5 of 1.4K

Institutions

542

  1. Cornell University

    Ithaca, United States

    10 h-index

    16 publications

    1.4K citations

  2. National University of Singapore

    Singapore, Singapore

    10 h-index

    19 publications

    782 citations

  3. University of Science and Technology of China

    Hefei, China

    10 h-index

    17 publications

    573 citations

  4. Philipps University of Marburg

    Marburg, Germany

    10 h-index

    19 publications

    2.4K citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    9 h-index

    21 publications

    1.3K citations

  6. Massachusetts Institute of Technology

    Cambridge, United States

    9 h-index

    24 publications

    1.3K citations

  7. Tsinghua University

    Beijing, China

    9 h-index

    29 publications

    1.3K citations

  8. University of Toronto

    Toronto, Canada

    8 h-index

    13 publications

    474 citations

1–8 of 542

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 817 citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 760 citations

    12

    h-index

  3. Expert Systems with Applications

    11 publications · 339 citations

    11

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 595 citations

    11

    h-index

  5. Machine Learning

    8 publications · 539 citations

    8

    h-index

1–5