Recommendation Technique-based Government-to-Business Personalized E-services

Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:
Conference Proceeding
Citation:
The 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS2009), 2009, pp. 1 - 6
Issue Date:
2009-01
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One of the new directions in current e-government development is to provide personalized online services to citizens and businesses. Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services. The approach integrates fuzzy setsbased semantic similarity and traditional item-based collaborative filtering methods to improve recommendation accuracy. A recommender system named Intelligent Business Partner Locator (IBPL) is designed to apply the proposed recommendation approach for supporting government agencies to recommend business partners.
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