Next-basket Recommendation

Next-Basket Recommendation is a sequential recommendation task that predicts the set of items a user will purchase in the next shopping basket, distinguished from next-item prediction by modeling multi-item, unordered transactions in temporal sequences.

33

Publications

2.2K

Citations

105

Authors

42

Institutions

Publications per year

2017–2026

27

Authors

105

  1. PW
    Pengfei Wang

    Beijing University of Posts and Telecommunications, China

    4 publications · 598 citations

    4

    h-index

  2. MD
    Maarten de Rijke

    University of Amsterdam, Netherlands

    3 publications · 112 citations

    3

    h-index

  3. RG
    Riccardo Guidotti

    University of Pisa, Italy

    3 publications · 80 citations

    3

    h-index

  4. FG
    Fosca Giannotti

    University of Pisa, Italy

    3 publications · 80 citations

    3

    h-index

  5. MA
    Mozhdeh Ariannezhad

    University of Amsterdam, Netherlands

    3 publications · 112 citations

    3

    h-index

1–5 of 105

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 25 citations

    2

    h-index

  2. ACM Transactions on Information Systems

    2 publications · 53 citations

    2

    h-index

  3. IEEE Access

    2 publications · 32 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 89 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 63 citations

    2

    h-index

1–5