Offer Recommendation

Offer Recommendation is a personalization analytics method that identifies and prioritizes specific product, service, or content proposals for individual users based on their behavioral, contextual, and demographic data to optimize engagement, conversion, or satisfaction.

7

Publications

164

Citations

27

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

27

  1. KW
    Karol Węgrzycki

    University of Warsaw, Poland

    1 publications · 16 citations

    1

    h-index

  2. SL
    Steffen Lamparter

    Siemens (Germany), Germany

    1 publications · 50 citations

    1

    h-index

  3. SS
    Sumit Sarkar

    The University of Texas at Dallas, United States

    1 publications · 34 citations

    1

    h-index

  4. SA
    Samarth Agarwal

    IBM (United States), United States

    1 publications · 50 citations

    1

    h-index

  5. MD
    Michaël Defoin-Platel

    Rothamsted Research, United Kingdom

    1 publications · 21 citations

    1

    h-index

1–5 of 27

Venues

  1. 1

    h-index

  2. Journal of Revenue and Pricing Management

    1 publications · 21 citations

    1

    h-index

  3. Information Systems Research

    ISR · 1 publications · 34 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. Electronic Notes in Discrete Mathematics

    1 publications · 16 citations

    1

    h-index

1–5