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Analysing user behaviour in recommender systems

Matsatsinis Nikolaos, Kleanthi Lakiotaki

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/D65DA3FB-F17F-4700-97C2-563FA23EED75-
Αναγνωριστικόhttps://doi.org/10.1504/IJEB.2012.048740-
Αναγνωριστικόhttp://www.inderscienceonline.com/doi/abs/10.1504/IJEB.2012.048740-
Γλώσσαen-
Μέγεθος19 pagesen
ΤίτλοςAnalysing user behaviour in recommender systemsen
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΔημιουργόςKleanthi Lakiotakien
ΕκδότηςInderscienceen
ΠερίληψηNowadays, recommender systems are considered to be a valuable tool for internet marketing. Multi-criteria user modelling methodologies have been successfully applied to increase recommender systems accuracy. However, modelling user behaviour can be hard and often misleading when only the overall preference rate is considered. Various multi-criteria recommendation algorithms have been proposed that try to achieve high recommendation scores, but the gap from research ideas to real life applications remain large. Hence, studies concerning the understanding and interpretation of theoretical results together with direct application in real user data will improve and establish multi-criteria user profiling techniques as an important tool for recommender systems. In this direction, we analyse movie user profiles as a result of a multi-criteria recommendation methodology, applied to real user data, in order to reveal any hidden aspect of user behaviour that would eventually improve current system’s performanceen
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-05-
Ημερομηνία Δημοσίευσης2012-
Θεματική ΚατηγορίαRecommendation systems (Information filtering)en
Θεματική ΚατηγορίαSystems, Recommendation (Information filtering)en
Θεματική ΚατηγορίαSystems, Recommender (Information filtering)en
Θεματική Κατηγορίαrecommender systems information filteringen
Θεματική Κατηγορίαrecommendation systems information filteringen
Θεματική Κατηγορίαsystems recommendation information filteringen
Θεματική Κατηγορίαsystems recommender information filteringen
Βιβλιογραφική ΑναφοράK. Lakiotaki, N. Matsatsinis," Analysing user behaviour in recommender systems," Intern. J. of Electronic Business ,vol.10,no.1 ,pp. 1-19,2012.doi:10.1504/IJEB.2012.048740en

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