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User profiling based on multi-criteria analysis: the role of utility functions

Matsatsinis Nikolaos, Lakiotaki Kleanthi, Sakkalis, Vangelis, Pavlos Delias

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URIhttp://purl.tuc.gr/dl/dias/002546CD-721A-4668-8F1A-32943CAB7ED1-
Identifierhttps://doi.org/10.1007/s12351-008-0024-4-
Languageen-
Extent14 pagesen
TitleUser profiling based on multi-criteria analysis: the role of utility functionsen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorLakiotaki Kleanthien
CreatorΛακιωτακη Κλεανθηel
CreatorSakkalis, Vangelisen
CreatorPavlos Deliasen
Content SummaryPersonalized profiles that describe user behaviour and preferences are encountered in many applications, ranging from recommender systems or user agents (Web browsers) to one-to-one marketing. User profiling is a crucial step in providing accurate product recommendations to the end users. Once groups of people with similar preferences are identified, information, products, or services tailored to group’s needs, can be delivered. The aim of this paper is to clarify the role of utility functions in the formation of user profiles. Thus, the clustering behaviour of customers’ preferences is investigated by means of clustering algorithms and preference modelling. It is shown in this work that the incorporation of a Multi-criteria methodology prior to the application of a clustering algorithm constitutes a fundamental step for the formation of more accurate user profiles in terms of compactness and separation of the groups.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2009-
Subject Cluster Analysis en
Bibliographic CitationK. Lakiotaki, P. Delias, V. Sakkalis, N..F Matsatsinis ," User profiling based on multi-criteria analysis: the role of utility functions,"Oper.Research ,vol.9,no.1 ,pp.3-16,May 2009.doi:10.1007/s12351-008-0024-4en

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