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

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Book cover Knowledge Engineering and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 214))

Abstract

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.

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Acknowledgments

The work presented in this paper was partially supported by the Australian Research Council (ARC) under discovery grant DP110103733.

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Authors and Affiliations

  1. Decision Systems and e-Service Intelligence (DeSI) Lab, Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia

    Mingsong Mao, Guangquan Zhang & Jie Lu

  2. Institute of Management Information, Department of Management Science and Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, China

    Mingsong Mao & Jinlong Zhang

Authors
  1. Mingsong Mao
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  2. Guangquan Zhang
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  3. Jie Lu
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  4. Jinlong Zhang
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Corresponding author

Correspondence to Mingsong Mao .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China, People's Republic

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China, People's Republic

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, China, People's Republic

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Mao, M., Zhang, G., Lu, J., Zhang, J. (2014). A Signed Trust-Based Recommender Approach for Personalized Government-to-Business e-Services. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_9

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  • DOI: https://doi.org/10.1007/978-3-642-37832-4_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37831-7

  • Online ISBN: 978-3-642-37832-4

  • eBook Packages: EngineeringEngineering (R0)

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