Recommendation technique-based government-to-business personalized e-services

Publication Type:
Conference Proceeding
Citation:
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2009
Issue Date:
2009-11-02
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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 sets-based 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. ©2009 IEEE.
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