Time-aware Recommendation

Time-Aware Recommendation is a type of context-aware recommendation method that explicitly models temporal dynamics to capture how user preferences and item popularity evolve over time.

328

Publications

15.7K

Citations

973

Authors

353

Institutions

Publications per year

2017–2026

184

Authors

973

  1. YF
    Yushun Fan

    Tsinghua University, China

    6 publications · 222 citations

    6

    h-index

  2. SA
    Sajad Ahmadian

    Kermanshah University of Technology, Iran

    6 publications · 373 citations

    6

    h-index

  3. JW
    Jian Wang

    Wuhan University, China

    5 publications · 333 citations

    5

    h-index

  4. MJ
    Mahdi Jalili

    RMIT University, Australia

    5 publications · 279 citations

    5

    h-index

  5. WT
    Wei Tan

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 171 citations

    4

    h-index

1–5 of 973

Venues

  1. Expert Systems with Applications

    15 publications · 1.2K citations

    14

    h-index

  2. IEEE Access

    12 publications · 267 citations

    12

    h-index

  3. Neurocomputing

    8 publications · 248 citations

    8

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 198 citations

    7

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 6 publications · 190 citations

    6

    h-index

1–5