Selling with Recommender Systems and Price Dynamics

Research output: Working PapersPreprint

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Detail(s)

Original languageEnglish
Publication statusOnline published - 29 Mar 2022

Abstract

A long-lived seller sells a product through a recommender system that offers prices and recommends products to short-lived consumers in continuous time. The seller receives feedback about the product at a rate that increases with the instantaneous sales volume. The optimal selling mechanism is characterized by "information cutoffs", which are derived recursively using a "characteristic function". In the optimal mechanism, below-cost pricing can occur during an initial period or an interim period, and price cycles may emerge. In this market, restrictions on either prices or recommendation strategies lead to Pareto-inferior outcomes.

Research Area(s)

  • Dynamic pricing, information design, social learning

Citation Format(s)

Selling with Recommender Systems and Price Dynamics. / Xu, Wenji; Yang, Shuoguang.
2022.

Research output: Working PapersPreprint