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A Recommender System Based on Multi-Criteria Aggregation

Fomba, Soumana and Zaraté, Pascale and Kilgour, Marc and Camilleri, Guy and Konate, Jacqueline and Tangara, Fana A Recommender System Based on Multi-Criteria Aggregation. (2017) International Journal of Decision Support System Technology, 9 (4). 1-15. ISSN 1941-6296

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Official URL: https://doi.org/10.4018/IJDSST.2017100101

Abstract

Recommender systems aim to support decision-makers by providing decision advice. We review briefly tools of Multi-Criteria Decision Analysis MCDA, including aggregation operators, that could be the basis for a recommender system. Then we develop a multi-criteria recommender system, STROMa SysTem of RecOmmendation Multi-criteria, to support decisions by aggregating measures of performance contained in a performance matrix. The system makes inferences about preferences using a partial order on criteria input by the decision-maker. To determine a total ordering of the alternatives, STROMa uses a multi-criteria aggregation operator, the Choquet integral of a fuzzy measure. Thus, recommendations are calculated using partial preferences provided by the decision maker and updated by the system. An integrated web platform is under development.

Item Type:Article
Additional Information:https://www.igi-global.com/gateway/article/186800
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université des Sciences, des Techniques et des Technologies de Bamako - USTTB ( MALI)
Other partners > Wilfrid Laurier University (CANADA)
Laboratory name:
Funders:
ANR-11-LABX-0040-CIMI within the program ANR-11-IDEX-0002-02
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Deposited By: IRIT IRIT
Deposited On:10 Oct 2018 15:01

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