Work

Economics of Recommender Systems

Year: 2024

Type: conference-paper

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.

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3640457.3687093

Authors: Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolo, Sergio Pastorello

Institutions: Libera Università Internazionale degli Studi Sociali Guido Carli, European University Institute, University of Bologna

Language: English

Topic: Digital Platforms and Economics

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: bronze

Funder: European Commission

Awards: G4508289328, G6168517060, G972786147