Inference of Preference Reproducibility in Pairwise Comparisons by Bayesian Network

DOI

Bibliographic Information

Other Title
  • ベイジアンネットワークによる一対比較時の選好再現性予測

Description

This paper infers the reproducibility of preferences for fashion model stimuli from eye movements. Three types of pairs of fashion models (i.e., high score vs. high score, law score vs. law score, and high score vs. law score) are provided according to evaluations of color coordinates. To estimate the reproducibility of preferences, pairwise comparisons are conducted two times among three months. An inference model is developed for each type of pair of fashion model stimuli by use of a Bayesian network.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282680650948352
  • NII Article ID
    130004591874
  • DOI
    10.14864/fss.27.0.269.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top