Journal Articles Social Choice and Welfare Year : 2023

Tailored Recommendations

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.
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Dates and versions

halshs-02973924 , version 1 (21-10-2020)

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Cite

Eric Danan, Thibault Gajdos, Jean-Marc Tallon. Tailored Recommendations. Social Choice and Welfare, 2023, 60, pp.15-34. ⟨10.1007/s00355-020-01295-7⟩. ⟨halshs-02973924⟩
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