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Search Platforms: Big Data and Sponsored Positions

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Description

We study a search platform ranking firms' products across sponsored and organic positions, accounting for the incentives of both firms and
consumers. To characterize an optimal ranking when the number of firms is large, we formulate a Mixing Principle for Consumer Search, adapting tools from the social learning literature. The platform assigns the products it deems best to sponsored positions and obfuscates the content of organic positions subject to consumers' participation constraints.

Obfuscation serves to maximize the platform’s revenue from both sponsored position auctions and commission fees. Our results allow us to analyze the welfare effects of sponsored positions.

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Organisateur
Chaire Gouvernance et Régulation
Contact
[email protected]
Avant
décembre 2025
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Period16 Dec 2025
Event titleAcademic Seminar
Event typeSeminar/Workshop
LocationParis, FranceShow on map

Keywords

  • search platforms
  • big data