Selling with Recommender Systems and Price Dynamics
Research output: Working Papers › Preprint
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Detail(s)
Original language | English |
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Publication status | Online published - 29 Mar 2022 |
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DOI | DOI |
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Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(d5b5b000-35e1-41f0-89e3-cf6e25b2df75).html |
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