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New hybrid recommender approaches: An Application to equity funds selection

Eleftherios Manarolis, Matsatsinis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/12B9CFBD-E1D7-4EC5-9816-CEFE42C59073-
Identifierhttps://doi.org/10.1007/978-3-642-04428-1_14-
Languageen-
Extent12 pagesen
TitleNew hybrid recommender approaches: An Application to equity funds selectionen
CreatorEleftherios Manarolisen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
PublisherSpringer Verlagen
Content SummaryRecommender Systems and Multicriteria Decision Analysis remain two separate scientific fields in spite of their similarity in supporting the decision making process and reducing information overload. In this paper we present a novel algorithmic framework, which combines features from Recommender Systems literature and Multicriteria Decision Analysis to alleviate the sparsity problem and the absence of multidimensional correlation measures. We apply the introduced framework for recommending Greek equity funds to a set of simulation generated investors. The proposed framework treats MCDA’s algorithm UTADIS as a content - based recommendation technique which, in conjunction with collaborative filtering results in two Hybrid Recommendation approaches. The resulting approaches manage to outperform the separate application of the UTADIS and collaborative filtering methods in terms of recommendation accuracy.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2009-
SubjectHybrid recommenderen
Bibliographic CitationN.F. Matsatsinis, E.A. Manarolis ,"New hybrid recommender approaches: An application to equity funds selection ,"in 2009 First Intern. Conf. ( ADT),pp.156-167.doi:10.1007/978-3-642-04428-1_14en

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