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Analysing user behaviour in recommender systems

Matsatsinis Nikolaos, Kleanthi Lakiotaki

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URIhttp://purl.tuc.gr/dl/dias/D65DA3FB-F17F-4700-97C2-563FA23EED75-
Identifierhttps://doi.org/10.1504/IJEB.2012.048740-
Identifierhttp://www.inderscienceonline.com/doi/abs/10.1504/IJEB.2012.048740-
Languageen-
Extent19 pagesen
TitleAnalysing user behaviour in recommender systemsen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorKleanthi Lakiotakien
PublisherInderscienceen
Content SummaryNowadays, 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
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-05-
Date of Publication2012-
SubjectRecommendation systems (Information filtering)en
SubjectSystems, Recommendation (Information filtering)en
SubjectSystems, Recommender (Information filtering)en
Subjectrecommender systems information filteringen
Subjectrecommendation systems information filteringen
Subjectsystems recommendation information filteringen
Subjectsystems recommender information filteringen
Bibliographic CitationK. 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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