eprintid: 28646
rev_number: 13
eprint_status: archive
userid: 19147
dir: disk0/00/02/86/46
datestamp: 2019-04-01 22:22:54
lastmod: 2021-04-02 15:58:58
status_changed: 2019-04-01 22:22:54
type: conference_item
metadata_visibility: show
creators_name: Fomba, Soumana
creators_name: Zaraté, Pascale
creators_name: Camilleri, Guy
creators_idrefppn: 227897277
creators_idrefppn: 035805676
creators_idrefppn: 224124331
title: Multicriteria aggregating operator adaptation based on decision making context
subjects: subjects_INFO
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 generic multi-criteria recommender system, to support decisions by aggregating measures of performance contained in a performance matrix. To determine a total order of alternatives, the system uses different multicriteria aggregation operators depending on the context of use of the system. Thus, recommendations are calculated using partial preferences provided by the decision maker and updated by the system. An integrated web platform is under development.
date: 2017
publisher: ICDSST 2017
faculty: info
divisions: IRIT
keywords: Recommender system - Choquet integral - MCDA - Sugeno integral - Aggregation operator
language: en
has_fulltext: TRUE
view_date_year: 2017
full_text_status: public
pres_type: paper
pagerange: 85-90
event_title: 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017)
event_type: conference
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citation:   Fomba, Soumana <https://www.idref.fr/227897277>, Zaraté, Pascale <https://www.idref.fr/035805676> and Camilleri, Guy <https://www.idref.fr/224124331>  (2017) Multicriteria aggregating operator adaptation based on decision making context.   In: 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017).     
document_url: https://publications.ut-capitole.fr/id/eprint/28646/1/assistant_3550520_1337589831_0.pdf