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UTA-Rec: a recommender system based on multiple criteria analysis

Matsatsinis Nikolaos, Lakiotaki Kleanthi, Tsafarakis Stelios

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URIhttp://purl.tuc.gr/dl/dias/09170646-D2A5-46F9-8975-568747992739-
Identifierhttps://doi.org/10.1145/1454008.1454043-
Languageen-
Extent8 pagesen
TitleUTA-Rec: a recommender system based on multiple criteria analysisen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorLakiotaki Kleanthien
CreatorΛακιωτακη Κλεανθηel
CreatorTsafarakis Steliosen
CreatorΤσαφαρακης Στελιοςel
PublisherAssociation for Computing Machineryen
Content SummaryUTARec, a Recommender System that incorporates Multiple Criteria Analysis methodologies is presented. The system's performance and capability of addressing certain shortfalls of existing Recommender Systems is demonstrated in the case of movie recommendations. UTARec's accuracy is measured in terms of Kendall's tau and ROC curve analysis and is also compared to a Multiple Rating Collaborative Filtering (MRCF) approach. The results indicate that the proposed Multiple Criteria Analysis methodology can certainly improve the recommendation process by producing highly accurate results, from a user oriented perspective.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2008-
Bibliographic CitationK. Lakiotaki, S. Tsafarakis, N. Matsatsinis ," UTA-Rec: a recommender system based on multiple criteria analysis,"in 2008 ACM conf. on Recom. systems,pp. 219-226.doi:10.1145/1454008.1454043 en

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