This tutorial dives into the economics of recommender systems (RSs), presenting existing and ongoing research on how they influence consumer choices, shape market outcomes, and change the incentives of those who interact with them, whether by designing, catering to, or using these systems. The tutorial also touches on the broader implications of this research for antitrust and competition policy. By fostering a collaborative and interdisciplinary research community, this tutorial aims to deepen the understanding of the economic effects of recommender systems and inform the development of policies to mitigate potential risks associated with their diffusion.
Calvano, Emilio; Calzolari, G.; Denicolo, V.; Pastorello, S.. (2024). Economics of Recommender Systems. In RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1279- 1280). Doi: 10.1145/3640457.3687093.
Economics of Recommender Systems
Calvano E.;
2024
Abstract
This tutorial dives into the economics of recommender systems (RSs), presenting existing and ongoing research on how they influence consumer choices, shape market outcomes, and change the incentives of those who interact with them, whether by designing, catering to, or using these systems. The tutorial also touches on the broader implications of this research for antitrust and competition policy. By fostering a collaborative and interdisciplinary research community, this tutorial aims to deepen the understanding of the economic effects of recommender systems and inform the development of policies to mitigate potential risks associated with their diffusion.
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