Concepedia

Preference Learning From Conversation

Preference Learning From Conversation is a methodological framework within conversational recommendation systems that identifies and models user preferences through the analysis of conversational interactions, distinguishing itself by extracting implicit and explicit preference signals directly from natural language dialogue rather than from static or structured user feedback.

33

Publications

1.7K

Citations

117

Authors

53

Institutions

Publications per year

2017–2026

23

Parents

Publications

33

Towards Conversational Recommender Systems

Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann · 2016 · 407 citations

, , +15

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

Xiaolei Wang, Kun Zhou, Ji-Rong Wen et al. · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022 · 146 citations · Full text

, , +16

Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences

Filip Radlinski, Krisztian Balog, Bill Byrne et al. · 2019 · 94 citations · Full text

, , +14

Learning individual talkers’ structural preferences

Yuki Kamide · Cognition · 2012 · 87 citations

, , +10

Learning personal preferences on online newspaper articles from user behaviors

Hidekazu Sakagami, Tomonari Kamba · Computer Networks and ISDN Systems · 1997 · 85 citations

, , +16

1–5 of 33

Authors

117

  1. SL
    Shuai Li

    Shanghai Jiao Tong University, China

    2 publications · 42 citations

    2

    h-index

  2. LW
    Lingfei Wu

    William & Mary, United States

    2 publications · 98 citations

    2

    h-index

  3. WX
    Wayne Xin Zhao

    Renmin University of China, China

    2 publications · 199 citations

    2

    h-index

  4. CZ
    Canzhe Zhao

    Carnegie Mellon University, United States

    2 publications · 42 citations

    2

    h-index

  5. FR
    Filip Radlinski

    Microsoft (United States), United States

    2 publications · 501 citations

    2

    h-index

1–5 of 117

Institutions

53

  1. Renmin University of China

    Beijing, China

    3 h-index

    12 publications

    900 citations

  2. Nanyang Technological University

    Singapore, Singapore

    2 h-index

    6 publications

    88 citations

  3. National University of Singapore

    Singapore, Singapore

    2 h-index

    6 publications

    144 citations

  4. University of Pittsburgh

    Pittsburgh, United States

    2 h-index

    2 publications

    65 citations

  5. Beijing Institute of Technology

    Beijing, China

    2 h-index

    3 publications

    79 citations

  6. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    2 publications

    42 citations

  7. Free University of Bozen-Bolzano

    Bolzano, Italy

    2 h-index

    4 publications

    88 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    2 h-index

    5 publications

    106 citations

1–8 of 53

Venues

  1. Proceedings of the ACM Web Conference 2022

    Conference · 2 publications · 82 citations

    2

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 36 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 120 citations

    2

    h-index

  4. Artificial Intelligence Review

    1 publications · 30 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 19 citations

    1

    h-index

1–5