Privacy-Preserving Dynamic Personalized Pricing with Demand Learning
<jats:p> The prevalence of e-commerce has made customers’ detailed personal information readily accessible to retailers, and this information has been widely used in pricing decisions. When using personalized information, the question of how to protect the privacy of such information becomes a...
Main Authors: | Chen, Xi, Simchi-Levi, David, Wang, Yining |
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Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2023
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Online Access: | https://hdl.handle.net/1721.1/148657 |
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