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dc.contributor.authorMontebello, Matthew-
dc.contributor.authorCamilleri, Vanessa-
dc.identifier.citationMontebello, M., & Camilleri, V. (2016). Intelligent art recommender. 5th Virtual International Conference on Advanced Research in Scientific Areas (ARSA-2016), Slovakia. 138-143.en_GB
dc.description.abstractIn this paper we present a proof-of-concept art recommender that intelligently, through user clustering, suggests pieces of art to the user that match his or her profile. The prototype proposed implements an item clustering technique so as to tackle issues related to inaccurate outcomes as a result of user clustering. It utilises a hybrid of collaborative and contentbased recommendation approaches by employing such clustering and rule-mining techniques. An element of two interesting concepts, namely, serendipity and competition also form part of this work to give the prototype an added edge. Personal recommendations and a point awarding system combined in a mobile app bring together a challenging project and new interesting research values.en_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectMachine learningen_GB
dc.titleIntelligent art recommenderen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename5th Virtual International Conference on Advanced Research in Scientific Areas (ARSA-2016)en_GB
dc.bibliographicCitation.conferenceplaceSlovakia, 2016en_GB
Appears in Collections:Scholarly Works - FacICTAI

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