Concepedia

Active Learning For Recommendation

Active Learning for Recommendation is a recommendation paradigm that, as a distinct approach within cold-start and content-based recommendation, actively selects the most informative user-item interactions to query for feedback, thereby improving model accuracy with minimal user input by strategically reducing uncertainty in the learning process.

45

Publications

2.1K

Citations

138

Authors

65

Institutions

Publications per year

2017–2026

14

Parents

Publications

45

A survey of active learning in collaborative filtering recommender systems

Mehdi Elahi, Francesco Ricci⋆, Neil Rubens · Computer Science Review · 2016 · 300 citations · Full text

, , +13

Real-time top-n recommendation in social streams

Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme et al. · 2012 · 156 citations

, , +17

Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning

Yu Zhu, Jinghao Lin, Shibi He et al. · IEEE Transactions on Knowledge and Data Engineering · 2019 · 153 citations

, , +16

Personalized active learning for collaborative filtering

Abhay Harpale, Yiming Yang · 2008 · 122 citations

, , +13

A Bayesian approach toward active learning for collaborative filtering

Rong Jin, Luo Si · Purdue e-Pubs (Purdue University System) · 2004 · 105 citations

, , +15

1–5 of 45

Authors

138

  1. LS
    Lars Schmidt-Thieme

    University of Hildesheim, Germany

    7 publications · 288 citations

    7

    h-index

  2. RK
    Rasoul Karimi

    University of Hildesheim, Germany

    6 publications · 132 citations

    6

    h-index

  3. CF
    Christoph Freudenthaler

    University of Hildesheim, Germany

    4 publications · 97 citations

    4

    h-index

  4. NR
    Neil Rubens

    University of Electro-Communications, Japan

    3 publications · 411 citations

    3

    h-index

  5. XL
    Xumin Liu

    Rochester Institute of Technology, United States

    2 publications · 80 citations

    2

    h-index

1–5 of 138

Institutions

65

  1. University of Hildesheim

    Hildesheim, Germany

    7 h-index

    19 publications

    686 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    4 h-index

    7 publications

    472 citations

  3. University of Southern California

    Los Angeles, United States

    3 h-index

    3 publications

    134 citations

  4. Yahoo (United States)

    Sunnyvale, United States

    2 h-index

    7 publications

    508 citations

  5. Alibaba Group (China)

    Hangzhou, China

    2 h-index

    6 publications

    422 citations

  6. Simon Fraser University

    Burnaby, Canada

    2 h-index

    2 publications

    171 citations

  7. University of Electro-Communications

    Tokyo, Japan

    2 h-index

    2 publications

    372 citations

  8. Rochester Institute of Technology

    Rochester, United States

    2 h-index

    6 publications

    240 citations

1–8 of 65

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 197 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  3. Artificial Intelligence

    1 publications · 85 citations

    1

    h-index

  4. Computer Science Review

    1 publications · 300 citations

    1

    h-index

  5. User Modeling and User-Adapted Interaction

    1 publications · 22 citations

    1

    h-index

1–5