社会学习下的产品排名

Oper. Res. Pub Date : 2022-09-26 DOI:10.1287/opre.2022.2372
Costis Maglaras, M. Scarsini, Dongwook Shin, Stefano Vaccari
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引用次数: 1

摘要

当社交学习发生时,在线平台的最优策略在网上购买产品之前,消费者会阅读以前的客户所写的评论。如果他们购买了产品,他们会自己写一篇评论。当产品的质量未知时,消费者会随着时间的推移了解它;也就是说,社会学习发生了。如果消费者对不同品牌的同类产品有多种购买选择,那么他们使用的平台可能会通过选择产品在其网站上出现的顺序来影响这种社会学习。在《社交学习下的产品排名》一文中,Maglaras、Scarsini、Shin和Vaccari比较了该平台可能采用的各种政策,目的是最大限度地从销售商品的佣金中获得收入。比较政策的标准是相对于完全知情的平台基准而言的最坏情况遗憾。
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Product Ranking in the Presence of Social Learning
Optimal Policies for Online Platforms When Social Learning Occurs Before buying products online, consumers read the reviews written by the previous customers. If they buy the product, they write a review themselves. When the product is of unknown quality, consumers learn it over time; that is, social learning occurs. If consumers have various purchase options of similar products of different brands, the platform that they use may affect this social learning by choosing the order in which the products appear on its website. In “Product Ranking in the Presence of Social Learning,” Maglaras, Scarsini, Shin, and Vaccari compare various policies that the platform may adopt, with the goal of maximizing its revenue collected from commission fees for sold items. The criterion to compare the policies is the worst-case regret with respect to a fully informed platform benchmark.
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