A Recommender system based on MultiCriteria Aggregation

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)
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 2019 03:07
URI: http://publications.ut-capitole.fr/id/eprint/29032

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