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Conference papers
Fuzz-CBA: Classification à base de règles d'association floues et systèmes de recommandation
Abstract : Recommender systems are more and more used, especially on the Internet (e.g. movie and hotel recommandation). These systems often rely on classification methods, especially on association rule-based methods. However, the methods based on association rules and sequential patterns have not been studied for recommender systems in the case of numerical attributes. We thus propose an original recommendation method based on fuzzy association rules and show its interest through experiments.
Cited literature [21 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00430509
Contributor : Anne Laurent <>
Submitted on : Monday, October 7, 2019 - 3:50:30 PM
Last modification on : Monday, November 30, 2020 - 2:36:03 PM
Contributor : Anne Laurent <>
Submitted on : Monday, October 7, 2019 - 3:50:30 PM
Last modification on : Monday, November 30, 2020 - 2:36:03 PM
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lirmm-00430509v1.pdf
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