Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach
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DOI: 10.1287/ijoc.2019.0951
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References listed on IDEAS
- Dipayan Biswas & Guangzhi Zhao & Donald R. Lehmann, 2011. "The Impact of Sequential Data on Consumer Confidence in Relative Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 874-887.
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- Alton Y.K. Chua & Snehasish Banerjee, 2015. "Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 354-362, February.
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Cited by:
- Xiao-Jun Wang & Tao Liu & Weiguo Fan, 2023. "TGVx: Dynamic Personalized POI Deep Recommendation Model," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 786-796, July.
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Keywords
online reviews; helpfulness prediction; social voting; Bayesian probability; iterative estimation; predictive analytics;All these keywords.
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