Concepedia

Implicit Feedback Recommendation

Implicit Feedback Recommendation is a recommendation approach that infers user preferences from observable user behaviors—such as clicks, views, or purchase histories—rather than explicit ratings or feedback, thereby distinguishing itself by leveraging indirect indicators of user interest to model and predict preferences.

157

Publications

26.3K

Citations

501

Authors

186

Institutions

Publications per year

2017–2026

97

Parents

Publications

157

Neural Collaborative Filtering

Xiangnan He, Lizi Liao, Hanwang Zhang et al. · 2017 · 6.6K citations · Full text

, , +15

BPR: Bayesian Personalized Ranking from Implicit Feedback

Steffen Rendle, Christoph Freudenthaler, Zeno Gantner et al. · arXiv (Cornell University) · 2012 · 4.4K citations · Full text

, , +13

Collaborative Filtering for Implicit Feedback Datasets

Yifan Hu, Yehuda Koren, Chris Volinsky · 2008 · 3.2K citations

, , +16

Attentive Collaborative Filtering

Jingyuan Chen, Hanwang Zhang, Xiangnan He et al. · 2017 · 876 citations

, , +14

Personalized entity recommendation

Xiao Yu, Xiang Ren, Yizhou Sun et al. · 2014 · 745 citations

, , +11

1–5 of 157

Authors

501

  1. XH
    Xiangnan He

    University of Science and Technology of China, China

    7 publications · 8.4K citations

    7

    h-index

  2. XX
    Xin Xin

    Shandong University, China

    6 publications · 382 citations

    6

    h-index

  3. WP
    Weike Pan

    Shenzhen University, China

    6 publications · 289 citations

    6

    h-index

  4. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    6 publications · 8.4K citations

    6

    h-index

  5. JM
    Joemon M. Jose

    University of Glasgow, United Kingdom

    5 publications · 334 citations

    5

    h-index

1–5 of 501

Institutions

186

  1. Shandong University

    Jinan, China

    10 h-index

    26 publications

    9.3K citations

  2. Tsinghua University

    Beijing, China

    7 h-index

    29 publications

    1.5K citations

  3. Zhejiang University

    Hangzhou, China

    7 h-index

    34 publications

    1.9K citations

  4. Nanyang Technological University

    Singapore, Singapore

    6 h-index

    19 publications

    2.2K citations

  5. University of Science and Technology of China

    Hefei, China

    6 h-index

    14 publications

    1.2K citations

  6. University of Glasgow

    Glasgow, United Kingdom

    6 h-index

    10 publications

    603 citations

  7. National University of Singapore

    Singapore, Singapore

    6 h-index

    16 publications

    24.8K citations

  8. Shenzhen University

    Shenzhen, China

    6 h-index

    22 publications

    820 citations

1–8 of 186

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 4.8K citations

    8

    h-index

  2. Knowledge-Based Systems

    5 publications · 418 citations

    5

    h-index

  3. IEEE Access

    5 publications · 138 citations

    5

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 107 citations

    5

    h-index

  5. Proceedings of the ACM Web Conference 2022

    Conference · 4 publications · 159 citations

    4

    h-index

1–5