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

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

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/002546CD-721A-4668-8F1A-32943CAB7ED1-
Αναγνωριστικόhttps://doi.org/10.1007/s12351-008-0024-4-
Γλώσσαen-
Μέγεθος14 pagesen
ΤίτλοςUser profiling based on multi-criteria analysis: the role of utility functionsen
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΔημιουργόςLakiotaki Kleanthien
ΔημιουργόςΛακιωτακη Κλεανθηel
ΔημιουργόςSakkalis, Vangelisen
ΔημιουργόςPavlos Deliasen
ΠερίληψηPersonalized 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-03-
Ημερομηνία Δημοσίευσης2009-
Θεματική Κατηγορία Cluster Analysis en
Βιβλιογραφική ΑναφοράK. 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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