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dc.contributor.authorQuan, Qiuen_NZ
dc.contributor.authorHinze, Annikaen_NZ
dc.date.accessioned2016-02-16T23:42:25Z
dc.date.available2008en_NZ
dc.date.available2016-02-16T23:42:25Z
dc.date.issued2008en_NZ
dc.identifier.citationQuan, Q., & Hinze, A. (2008). Trust-based recommendations for mobile tourists in TIP (Computer Science Working Papers 13/2008). Hamilton, New Zealand: Department of Computer Science, The University of Waikato.en
dc.identifier.issn1177-777Xen_NZ
dc.identifier.urihttps://hdl.handle.net/10289/9907
dc.description.abstractRecommender systems aim to suggest to users items they would like. However, concerns about the reliability of information from unknown recommenders influences user acceptance. In this paper, we analyse trust-based recommendations for the tourist information system TIP. We believe that the recommender strategy is closely related to the information domain applied. So, the delivered trust-based tourist recommendations have combined peers’ ratings on sights, trust computations and geographical constraints. We create two trust propagation models to spread trust in the TIP community. Three Trust based and location-aware filtering algorithms are implemented. According to research on feasibilities of trust in recommendation fields, three collaborative filtering algorithms in TIP are improved by introducing the trust concept.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherDepartment of Computer Science, The University of Waikatoen_NZ
dc.relation.ispartofseriesComputer Science Working Papers
dc.rights© 2008 Qiu Quan & Annika Hinze
dc.subjectcomputer science
dc.subjectMobile Tourist Information Provider
dc.subjectTIP
dc.titleTrust-based recommendations for mobile tourists in TIPen_NZ
dc.typeWorking Paper
uow.relation.series13/2008
dc.relation.isPartOfWorking Paper Seriesen_NZ
pubs.confidentialfalseen_NZ
pubs.elements-id137061


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