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Recommendation technique-based government-to-business personalized e-services
2009
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
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
doi:10.1109/nafips.2009.5156456
fatcat:w3gj5h6ihrcpzbghcakcncyssi