Adaptive Choice-based Elicitation

Adaptive Choice-Based Elicitation is a utility elicitation method that iteratively refines preference models by selectively presenting choice tasks optimized to maximize information gain based on prior responses.

16

Publications

711

Citations

56

Authors

39

Institutions

Publications per year

2017–2026

8

Authors

56

  1. OT
    Olivier Toubia

    Columbia University, United States

    4 publications · 352 citations

    4

    h-index

  2. TE
    Theodoros Evgeniou

    INSEAD, France

    3 publications · 307 citations

    3

    h-index

  3. CR
    C.M. Racette

    North Carolina State University, United States

    2 publications · 63 citations

    2

    h-index

  4. PD
    Philippe Delquié

    INSEAD, France

    2 publications · 244 citations

    2

    h-index

  5. EJ
    Eric J. Johnson

    Columbia University, United States

    2 publications · 244 citations

    2

    h-index

1–5 of 56

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 127 citations

    2

    h-index

  2. Journal of Dairy Science

    JDS · 2 publications · 63 citations

    2

    h-index

  3. Repository KITopen (Karlsruhe Institute of Technology)

    Repository · 1 publications · 26 citations

    1

    h-index

  4. Military Medical Research

    MMR · 1 publications · 13 citations

    1

    h-index

  5. Contemporary Clinical Trials

    1 publications · 33 citations

    1

    h-index

1–5