A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection

K. Coussement, D.F. Benoit, M. Antioco

Open source

DOI: 10.1016/j.dss.2015.07.006
Published: 2015-11
Container: Decision Support Systems
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.dss.2015.07.006,
  title = {A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection},
  author = {K. Coussement and D.F. Benoit and M. Antioco},
  year = {2015},
  journal = {Decision Support Systems},
  doi = {10.1016/j.dss.2015.07.006},
  url = {https://doi.org/10.1016/j.dss.2015.07.006}
}

RIS

TY  - JOUR
TI  - A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection
AU  - K. Coussement
AU  - D.F. Benoit
AU  - M. Antioco
PY  - 2015
JO  - Decision Support Systems
DO  - 10.1016/j.dss.2015.07.006
UR  - https://doi.org/10.1016/j.dss.2015.07.006
ER  -

APA

Coussement, K., Benoit, D., & Antioco, M. (2015). A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection. Decision Support Systems. https://doi.org/10.1016/j.dss.2015.07.006

Source records

crossref · retrieved 2026-09-25T17:14:40.106Z