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A Recommender system based on MultiCriteria Aggregation

Abstract : Recommender systems aim to support decision-makers by providing decision advice. We offer multi-criteria decision recommendations based on a performance matrix and a partial order on criteria submitted by the user. Our method is to aggregate performance measures over all criteria based on inferences about preferences from the decision-maker’s input. After reviewing some multicriteria aggregation operators, we present a recommender system that uses the Choquet integral of a fuzzy measure to determine a total ordering of the alternatives.
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Submitted on : Wednesday, May 3, 2017 - 10:36:33 AM
Last modification on : Monday, July 4, 2022 - 9:08:39 AM
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  • HAL Id : hal-01517389, version 1
  • OATAO : 17005


Soumana Fomba, Pascale Zaraté, Marc Kilgour. A Recommender system based on MultiCriteria Aggregation. 2nd International Conference on Decision Support Systems TechnologY (ICDSST 2016) EWG-DSS - EURO Working Group on Decision Support Systems, May 2016, Plymouth, United Kingdom. pp. 1-7. ⟨hal-01517389⟩



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