Tailored recommendations

Eric Danan, Thibault Gajdos () and Jean-Marc Tallon
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Thibault Gajdos: LPC, CNRS, Université d’Aix-Marseille

Social Choice and Welfare, 2023, vol. 60, issue 1, No 3, 15-34

Abstract: Abstract Many popular internet platforms use so-called collaborative filtering systems to give personalized recommendations to their users, based on other users who provided similar ratings for some items. We propose a novel approach to such recommendation systems by viewing a recommendation as a way to extend an agent’s expressed preferences, which are typically incomplete, through some aggregate of other agents’ expressed preferences. These extension and aggregation requirements are expressed by an Acceptance and a Pareto principle, respectively. We characterize the recommendation systems satisfying these two principles and contrast them with collaborative filtering systems, which typically violate the Pareto principle.

Date: 2023
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Related works:
Working Paper: Tailored Recommendations (2023)
Working Paper: Tailored Recommendations (2023)
Working Paper: Tailored Recommendations (2019)
Working Paper: Tailored Recommendations (2019)
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DOI: 10.1007/s00355-020-01295-7

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