Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/298
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dc.contributor.authorPolatidis, Nikolaos-
dc.contributor.authorGeorgiadis, Christos K.-
dc.date.accessioned2019-10-30T07:10:04Z-
dc.date.available2019-10-30T07:10:04Z-
dc.date.issued2013-
dc.identifier10.4018/ijeei.2013100103en_US
dc.identifier.issn1947-8585en_US
dc.identifier.issn1947-8593en_US
dc.identifier.urihttps://doi.org/10.4018/ijeei.2013100103en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/298-
dc.description.abstractDue to the rapid growth of the internet in conjunction with the information overload problem the use of recommender systems has started to become necessary for both e-businesses and customers. However there are other factors such as privacy and trust that make customers suspicious. This paper gives an overview of recommendation systems, the benefits that both the business and the customers have and an explanation of the challenges, which if faced can make the personalization process better for both parties. Moreover an outline of current studies is given along with an overview of Amazon’s recommendations in order to clarify that the use of recommender systems is beneficial for an e-business in many ways and also for a valuable customer of such business.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.sourceInternational Journal of E-Entrepreneurship and Innovationen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.otherE-Businessen_US
dc.subject.otherPersonalizationen_US
dc.titleRecommender Systemsen_US
dc.title.alternativeThe Importance of Personalization in E-Business Environmentsen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume4en_US
local.identifier.issue4en_US
local.identifier.firstpage32en_US
local.identifier.lastpage46en_US
Appears in Collections:Department of Applied Informatics

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