Online Recommendation

Online Recommendation is a recommendation paradigm that dynamically generates personalized suggestions in real time based on immediate user interactions and evolving system feedback within an interactive environment.

4.8K

Publications

305.4K

Citations

11.9K

Authors

2.3K

Institutions

Publications per year

2017–2026

2.4K

Authors

11.9K

  1. XH
    Xiangnan He

    University of Science and Technology of China, China

    37 publications · 12.5K citations

    28

    h-index

  2. BS
    Barry Smyth

    University College Dublin, Ireland

    28 publications · 2.2K citations

    23

    h-index

  3. RT
    Ruiming Tang

    Huawei Technologies (China), China

    23 publications · 4.3K citations

    21

    h-index

  4. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    24 publications · 11.2K citations

    21

    h-index

  5. DJ
    Dietmar Jannach

    University of Klagenfurt, Austria

    29 publications · 2.2K citations

    20

    h-index

1–5 of 11.9K

Venues

  1. Expert Systems with Applications

    179 publications · 12.3K citations

    63

    h-index

  2. Knowledge-Based Systems

    110 publications · 7.2K citations

    49

    h-index

  3. Information Sciences

    81 publications · 4.8K citations

    39

    h-index

  4. arXiv (Cornell University)

    Repository · 134 publications · 7K citations

    36

    h-index

  5. Decision Support Systems

    45 publications · 4.1K citations

    32

    h-index

1–5