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dc.contributor.authorSymeonidis P
dc.contributor.authorNanopoulos A
dc.contributor.authorManolopoulos Y
dc.contributor.editor
dc.date.accessioned2019-03-08T08:18:36Z
dc.date.available2019-03-08T08:18:36Z
dc.date.issued2008
dc.identifier.issn1083-4427
dc.identifier.urihttp://dx.doi.org/10.1109/TSMCA.2008.2003969
dc.identifier.urihttp://ieeexplore.ieee.org/abstract/document/4648950/
dc.identifier.urihttp://hdl.handle.net/10863/9045
dc.description.abstractRecommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload"problem. Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com, etc.) try to explain their recommendations, in an effort to regain customer acceptance and trust. However, their explanations are not sufficient, because they are based solely on rating or navigational data, ignoring the content data. Several systems have proposed the combination of content data with rating data to provide more accurate recommendations, but they cannot provide qualitative justifications. In this paper, we propose a novel approach that attains both accurate and justifiable recommendations. We construct a feature profile for the users to reveal their favorite features. Moreover, we group users into biclusters (i.e., groups of users which exhibit highly correlated ratings on groups of items) to exploit partial matching between the preferences of the target user and each group of users. We have evaluated the quality of our justifications with an objective metric in two real data sets (Reuters and MovieLens), showing the superiority of the proposed method over existing approaches. © 2008 IEEE.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relation
dc.rights
dc.subjectContent-based filtering (CB)en_US
dc.subjectE-commerceen_US
dc.subjectJustificationen_US
dc.subjectRecommender systemsen_US
dc.subjectCollaborative filtering (CF)en_US
dc.titleProviding justifications in recommender systemsen_US
dc.typeArticleen_US
dc.date.updated2019-03-08T03:01:18Z
dc.publication.title
dc.language.isiEN-GB
dc.journal.titleIEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans
dc.description.fulltextreserveden_US


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