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2023
- ISIDORE Id: 10670/1.d080ac...
- halshs: halshs-02973924
- doi: 10.1007/s00355-020-01295-7
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s00355-020-01295-7
info:eu-repo/semantics/OpenAccess
Mots-clés
Recommendation systems Incomplete preferences Extension Aggregation Pareto principle Collaborative filtering D - Microeconomics/D.D7 - Analysis of Collective Decision-Making/D.D7.D71 - Social Choice • Clubs • Committees • Associations D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D81 - Criteria for Decision-Making under Risk and UncertaintySujets proches
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Eric Danan et al., « Tailored Recommendations », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1007/s00355-020-01295-7
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Résumé
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.
