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

fYear

2009

fDate

14-17 June 2009

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NAFIPS.2009.5156456

Filename

5156456