SmarterDeals: a context-aware deal recommendation system based on the SmarterContext engine

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dc.contributor.authorEbrahimi, Sahar
dc.contributor.supervisorMuller, Hausi A.
dc.contributor.supervisorThomo, Alex
dc.date.accessioned2012-12-12T21:54:38Z
dc.date.available2012-12-12T21:54:38Z
dc.date.copyright2012en_US
dc.date.issued2012-12-12
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractDaily-deal applications are popular implementations of online advertising strategies that offer products and services to users based on their personal profiles. Current implementations are effective but can frustrate users with irrelevant deals due to stale profiles. To fully exploit the value creation and revenue generation potential of these applications, deals must become smarter. This research presents SmarterDeals, a deal recommendation system that exploits users changing personal context information to deliver highly relevant offers. To improve the relevance of offers, SmarterDeals relies on collaborative filtering recommendation algorithms and SmarterContext, our adaptive context management framework. SmarterContext provides SmarterDeals with up-to-date information about users locations as well as product and service preferences gathered from their past and present web interactions and experiences. We validated our approach using a data set of 271,418 product and service category ratings and 65,411 real users. We present our results using a comparative analysis that involves other well known recommendation approaches.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/4347
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectadvertisingen_US
dc.subjectonlineen_US
dc.subjectrelevanceen_US
dc.subjectpreferencesen_US
dc.subjectproductsen_US
dc.subjectservicesen_US
dc.titleSmarterDeals: a context-aware deal recommendation system based on the SmarterContext engineen_US
dc.typeThesisen_US

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