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2010 Seventh International Conference on Information Technology
A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services
Las Vegas, Nevada, USA
April 12-April 14
ISBN: 978-0-7695-3984-3
| ASCII Text | x | ||
| Qusai Shambour, Jie Lu, "A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services," Information Technology: New Generations, Third International Conference on, pp. 592-597, 2010 Seventh International Conference on Information Technology, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/ITNG.2010.114, author = {Qusai Shambour and Jie Lu}, title = {A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services}, journal ={Information Technology: New Generations, Third International Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-3984-3}, pages = {592-597}, doi = {http://doi.ieeecomputersociety.org/10.1109/ITNG.2010.114}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Information Technology: New Generations, Third International Conference on TI - A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services SN - 978-0-7695-3984-3 SP592 EP597 A1 - Qusai Shambour, A1 - Jie Lu, PY - 2010 KW - E-service personalization KW - Government-to-Business KW - Recommender systems (RSs) KW - Multi-criteria collaborative filtering KW - Social trust networks VL - 0 JA - Information Technology: New Generations, Third International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2010.114
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.
Index Terms:
E-service personalization, Government-to-Business, Recommender systems (RSs), Multi-criteria collaborative filtering, Social trust networks
Citation:
Qusai Shambour, Jie Lu, "A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services," itng, pp.592-597, 2010 Seventh International Conference on Information Technology, 2010
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