Calibration of voting-based helpfulness measurement for online reviews : an iterative bayesian probability approach
Year of publication: |
2021
|
---|---|
Authors: | Guo, Xunhua ; Chen, George Guo-Qiang ; Wang, Cong ; Wei, Qiang ; Zhang, Zunqiang |
Published in: |
INFORMS journal on computing : JOC. - Catonsville, MD : INFORMS, ISSN 1091-9856, ZDB-ID 1316077-1. - Vol. 33.2021, 1, p. 246-261
|
Subject: | online reviews | helpfulness prediction | social voting | Bayesian probability | iterative estimation | predictive analytics | Bayes-Statistik | Bayesian inference | Prognoseverfahren | Forecasting model | Wahrscheinlichkeitsrechnung | Probability theory | Theorie | Theory | Virales Marketing | Viral marketing | Online-Marketing | Internet marketing |
-
Disconfirmation effect on online rating behavior : a structural model
Ho, Yi-Chun, (2017)
-
Chong, Alain Yee Loong, (2016)
-
Aakash, Aakash, (2021)
- More ...
-
Providing consistent opinions from online reviews : a heuristic stepwise optimization approach
Zhang, Zunqiang, (2016)
-
Ma, Yue, (2014)
-
When images backfire : the effect of customer-generated images on product rating dynamics
Guan, Yue, (2023)
- More ...