Customer Embedding

Customer Embedding is a numerical representation technique that maps individual customer attributes and behaviors into a continuous, low-dimensional vector space to preserve relational and sequential patterns for predictive modeling in customer profiling.

4

Publications

100

Citations

16

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

16

  1. MA
    Miguel Alves Gomes

    University of Wuppertal, Germany

    1 publications · 19 citations

    1

    h-index

  2. QL
    Qidong Liu

    Tongji University, China

    1 publications · 16 citations

    1

    h-index

  3. MK
    Michael Kampffmeyer

    UiT The Arctic University of Norway, Norway

    1 publications · 35 citations

    1

    h-index

  4. PL
    Pei Lv

    Zhengzhou University, China

    1 publications · 16 citations

    1

    h-index

  5. JZ
    Jie Zhang

    Nanyang Technological University, Singapore

    1 publications · 16 citations

    1

    h-index

1–5 of 16

Venues

  1. Operations Research

    1 publications · 30 citations

    1

    h-index

  2. IEEE Transactions on Cybernetics

    1 publications · 16 citations

    1

    h-index

  3. Duo Research Archive (University of Oslo)

    Repository · 1 publications · 35 citations

    1

    h-index

  4. 1

    h-index

1–4