A framework of hybrid recommendation system for government-to-business personalized e-services

Shambour, Q; Lu, J

A framework of hybrid recommendation system for government-to-business personalized e-services

Shambour, Q Lu, J

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Publication Type:: Conference Proceeding
Citation:: ITNG2010 - 7th International Conference on Information Technology: New Generations, 2010, pp. 592 - 597
Issue Date:: 2010-08-11

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Field	Value	Language
dc.contributor.author	Shambour, Q	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2010-08-11	en_US
dc.identifier.citation	ITNG2010 - 7th International Conference on Information Technology: New Generations, 2010, pp. 592 - 597	en_US
dc.identifier.isbn	9780769539843	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16299
dc.description.abstract	One of the challenges facing e-governments is how to provide businesses with services and information specific to their needs, rather than an undifferentiated mass of information. One way to achieve this is through the design and development of personalized government e-services using recommendation systems. To this purpose, this study presents a personalized hybrid recommender system framework to handle personalized recommendations in G2B e-services, in particular, business partner matching e-services. The proposed framework employs a hybrid trust-based multi-criteria recommendation model which integrates the techniques of trust-based filtering with the multi-criteria CF. The proposed system can be used to reduce the time, cost and risk of businesses involved in entering international markets and thus improve the quality of G2B e-services. © 2010 IEEE.	en_US
dc.relation.ispartof	ITNG2010 - 7th International Conference on Information Technology: New Generations	en_US
dc.relation.isbasedon	10.1109/ITNG.2010.114	en_US
dc.title	A framework of hybrid recommendation system for government-to-business personalized e-services	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Las Vegas, USA	en_US
dc.location.activity	ISI:000180252200010
pubs.embargo.period	Not known	en_US
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/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

One of the challenges facing e-governments is how to provide businesses with services and information specific to their needs, rather than an undifferentiated mass of information. One way to achieve this is through the design and development of personalized government e-services using recommendation systems. To this purpose, this study presents a personalized hybrid recommender system framework to handle personalized recommendations in G2B e-services, in particular, business partner matching e-services. The proposed framework employs a hybrid trust-based multi-criteria recommendation model which integrates the techniques of trust-based filtering with the multi-criteria CF. The proposed system can be used to reduce the time, cost and risk of businesses involved in entering international markets and thus improve the quality of G2B e-services. © 2010 IEEE.

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http://hdl.handle.net/10453/16299