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Using survival prediction techniques to learn consumer-specific reservation price distributions
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Jin, Ping, Haider, Humza, Greiner, Russell, Wei, Sarah and Häubl, Gerald (2021) Using survival prediction techniques to learn consumer-specific reservation price distributions. PLOS ONE, 16 (4). e0249182. doi:10.1371/journal.pone.0249182 ISSN 1932-6203.
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Official URL: https://doi.org/10.1371/journal.pone.0249182
Abstract
A consumer’s “reservation price” (RP) is the highest price that s/he is willing to pay for one unit of a specified product or service. It is an essential concept in many applications, including personalized pricing, auction and negotiation. While consumers will not volunteer their RPs, we may be able to predict these values, based on each consumer’s specific information, using a model learned from earlier consumer transactions. Here, we view each such (non)transaction as a censored observation, which motivates us to use techniques from survival analysis/prediction, to produce models that can generate a consumer-specific RP distribution, based on features of each new consumer. To validate this framework of RP, we run experiments on realistic data, with four survival prediction methods. These models performed very well (under three different criteria) on the task of estimating consumer-specific RP distributions, which shows that our RP framework can be effective.
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HF Commerce H Social Sciences > HG Finance |
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| Divisions: | Faculty of Social Sciences > Warwick Business School > Marketing Group Faculty of Social Sciences > Warwick Business School |
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| SWORD Depositor: | Library Publications Router | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Consumers' preferences, Consumers' preferences -- Mathematical models, Consumers' preferences -- Prices, Consumer behavior, Willingness to pay -- Mathematical models, Prices | |||||||||||||||
| Journal or Publication Title: | PLOS ONE | |||||||||||||||
| Publisher: | Public Library of Science | |||||||||||||||
| ISSN: | 1932-6203 | |||||||||||||||
| Official Date: | 29 April 2021 | |||||||||||||||
| Dates: |
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| Volume: | 16 | |||||||||||||||
| Number: | 4 | |||||||||||||||
| Article Number: | e0249182 | |||||||||||||||
| DOI: | 10.1371/journal.pone.0249182 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
| Date of first compliant deposit: | 5 May 2021 | |||||||||||||||
| Date of first compliant Open Access: | 7 May 2021 | |||||||||||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 | |||||||||||||||
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