Applying web personalization techniques in e-government services

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dc.contributor.author Guo, X
dc.contributor.author Lu, J
dc.contributor.author Simoff, S
dc.date.accessioned 2009-11-09T02:45:17Z
dc.date.issued 2005
dc.identifier.citation AusWeb05: 11th Australasian World Wide Web Conference, 2005
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1753
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. © 2005. Xuetao Guo, Jie Lu & Simeon Simoff.
dc.title Applying web personalization techniques in e-government services
dc.type Conference Proceeding
dc.parent AusWeb05: 11th Australasian World Wide Web Conference
dc.journal.number en_US
dc.publocation Lismore, Australia en_US
dc.publocation Lismore, Australia
dc.identifier.startpage 233 en_US
dc.identifier.endpage 238 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference Australian World Wide Web Conference
dc.conference.location Gold Coast, Australia en_US
dc.for 0804 Data Format
dc.personcode 000716
dc.personcode 001038
dc.percentage 100 en_US
dc.classification.name Distributed Computing en_US
dc.classification.type FOR-08 en_US
dc.custom Australian World Wide Web Conference en_US
dc.date.activity 20050702 en_US
dc.date.activity 2005-07-02
dc.location.activity Gold Coast, Australia en_US
dc.location.activity Gold Coast, Australia
dc.description.keywords personalisation, e-government; recommender systems en_US
dc.description.keywords personalisation, e-government
dc.description.keywords recommender systems
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


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