Fomba, Soumana, Zaraté, Pascale and Kilgour, Marc (2016) A Recommender system based on MultiCriteria Aggregation. In: 2nd International Conference on Decision Support Systems TechnologY (ICDSST 2016) EWG-DSS - EURO Working Group on Decision Support Systems.
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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.
Item Type: | Conference or Workshop Item (Paper) |
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Language: | English |
Date: | 2016 |
Uncontrolled Keywords: | Recommender system - Choquet integral - MCDA |
Subjects: | H- INFORMATIQUE |
Divisions: | Institut de Recherche en Informatique de Toulouse |
Site: | UT1 |
Date Deposited: | 02 Apr 2019 03:07 |
Last Modified: | 02 Apr 2021 15:59 |
URI: | https://publications.ut-capitole.fr/id/eprint/29032 |