Applying web personalisation techniques in E-government services

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Show simple item record Guo, Xuetao en_US Lu, Jie en_US Simoff, Simeon en_US
dc.contributor.editor Theloar, A; Ellis, A; en_US 2009-11-09T02:45:17Z 2009-11-09T02:45:17Z 2005 en_US
dc.identifier 2005002676 en_US
dc.identifier.citation Guo Xuetao, Lu Jie, and Simoff Simeon 2005, 'Applying web personalisation techniques in E-government services', Southern Cross University, Lismore, Australia, pp. 233-238. en_US
dc.identifier.issn 0-9751644-3-0 en_US
dc.identifier.other E1 en_US
dc.description.abstract Many E-commerce websites attempt to develop personalized features to encourage users' repetitive visits. Yet, there is less attention about the applications of personalization technologies in E-government services. In this study, we present a classification of personalization techniques. Also, a novel recommendation approach is proposed to improve the existing techniques by the integration of user-based and item-based collaborative filtering recommendation techniques. A recommender system prototype, named Smart Trade Exhibitions Finder, is developed to help companies choosing the right trade exhibitions. The outcome of this study will have tremendous significance in overcoming the drawback of existing recommendation approaches. en_US
dc.publisher Southern Cross University en_US
dc.relation.isbasedon en_US
dc.title Applying web personalisation techniques in E-government services en_US
dc.parent Proceedings of AusWeb05 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Lismore, Australia en_US
dc.identifier.startpage 233 en_US
dc.identifier.endpage 238 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Gold Coast, Australia en_US
dc.for 080400 en_US
dc.personcode 01028087 en_US
dc.personcode 001038 en_US
dc.personcode 000716 en_US
dc.percentage 100 en_US Distributed Computing en_US
dc.classification.type FOR-08 en_US
dc.custom Australian World Wide Web Conference en_US 20050702 en_US
dc.location.activity Gold Coast, Australia en_US
dc.description.keywords personalisation, e-government; recommender systems en_US
dc.staffid 000716 en_US

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