A Recommender System Based on Multi-Criteria Aggregation

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...

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Veröffentlicht in:	International journal of decision support system technology Jg. 9; H. 4; S. 1 - 15
Hauptverfasser:	Fomba, Soumana, Zarate, Pascale, Kilgour, Marc, Camilleri, Guy, Konate, Jacqueline, Tangara, Fana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hershey IGI Global 01.10.2017
Schlagworte:	Analysis Artificial Intelligence Collaboration Computation and Language Computer Science Decision analysis Decision making Decision support systems Logic in Computer Science Machine Learning Multiple criterion Operators (mathematics) Preferences Recommender systems France Recommender system Choquet integral – MCDA
ISSN:	1941-6296, 1941-630X
Online-Zugang:	Volltext
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