Graph-based Implicit Recommendation

Graph-Based Implicit Recommendation is a recommendation method that models user-item interactions as a graph structure to capture implicit feedback signals, distinguishing itself by leveraging relational dependencies among users and items through graph-based propagation and learning mechanisms.

6

Publications

212

Citations

25

Authors

9

Institutions

Publications per year

2017–2026

4

Authors

25

  1. YZ
    Yingxue Zhang

    Huawei Technologies (Canada), Canada

    1 publications · 89 citations

    1

    h-index

  2. HY
    Han Yuan

    Memorial Sloan Kettering Cancer Center, United States

    1 publications · 89 citations

    1

    h-index

  3. MC
    Mark Coates

    McGill University, Canada

    1 publications · 89 citations

    1

    h-index

  4. FR
    Florence Regol

    McGill University, Canada

    1 publications · 89 citations

    1

    h-index

  5. AA
    Arnold Adimabua Ojugo

    Federal University of Petroleum Resource Effurun, Nigeria

    1 publications · 30 citations

    1

    h-index

1–5 of 25

Venues

  1. 1

    h-index

  2. IAES International Journal of Artificial Intelligence

    IJAI · 1 publications · 30 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 34 citations

    1

    h-index

  4. Future Internet

    1 publications · 10 citations

1–4