Title :
Recommendation technique-based government-to-business personalized e-services
Author :
Lu, Jie ; Shambour, Qusai ; Zhang, Guangquan
Author_Institution :
Lab. of Decision Syst. & e-Service Intell., Univ. of Technol. Sydney, Broadway, NSW, Australia
Abstract :
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.
Keywords :
business data processing; fuzzy set theory; government data processing; groupware; information filters; semantic Web; fuzzy set-based semantic; government-to-business personalized e-service; intelligent business partner locator; online service; recommendation technique; traditional item-based collaborative filtering; Australia; Business; Collaboration; Electronic government; Filtering; Fuzzy sets; Fuzzy systems; Information technology; Intelligent systems; Recommender systems; Collaborative Filtering; E-Services; E-government; Fuzzy sets; Personalization; Recommender Systems;
Conference_Titel :
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4244-4575-2
Electronic_ISBN :
978-1-4244-4577-6
DOI :
10.1109/NAFIPS.2009.5156456
