A Signed Trust-Based Recommender Approach for Personalized Government-to-Business e-Services

Publication Type:
Conference Proceeding
Advances in Intelligent Systems and Computing, 2014, 214 pp. 91 - 101
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Recently recommender systems are introduced into the web-based government applications which expect to provide personalized Government-to-Business (G2B) e-Services. For more personalization, we illustrate a subjective signed trust relationship between users, and based on such trust we proposed a recommendation framework for G2B e-services. A case study is conducted as an example of implementing our approach in e-government applications. Empirical analysis is also conducted to compare our approach with other models, which shows that our approach is of the highest. In conclusion, the signed trust relationship can reflect the real preferences of users, and the proposed recommendation framework is believed to be reliable and applicable. © Springer-Verlag Berlin Heidelberg 2014.
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