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Service-requester-centered service selection and ranking model for digital transportation ecosystems

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Abstract

Transport services are a fundamental utility that drives human society. A Digital Transportation Ecosystem is a sub-system of the Digital Ecosystem, which uses ICT resources to facilitate transport service transactions. This research focuses on the selection and ranking of online transport service information. The previous research in this area has been unable to achieve satisfactory performance or give sufficient freedom to service requesters to rank services based on their preferences. ‘User-centered design’ is a broad term to describe how end-users influence system design. In this research, we propose a Service-Requester-Centered Service Selection and Ranking Model, guided by the philosophy of user-centered design. Three major sub-models are involved in this model: a model for assisting service requesters to search appropriate transport service ontology concepts to denote their service requests, a model for enhancing the accuracy of automatic transport service concept recommendation by observing service requesters’ click behaviours, and a model for enabling service-requester-preference-based service ranking. Implementations and empirical experiments are conducted to evaluate the three sub-models and the drawn conclusions along with directions for future work are outlined.

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Notes

  1. http://www.nlm.nih.gov/research/umls/.

  2. http://wordnet.princeton.edu/.

  3. http://protege.stanford.edu/plugins/owl/api/.

  4. http://sourceforge.net/projects/jwordnet/.

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Acknowledgments

We would like to express our appreciation to our programmer, Mr Xiaocheng Yan, who is responsible for the system implementation and evaluation. We would also like to express our gratitude to the anonymous reviewers of our manuscript for their valuable suggestions to improve this paper.

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Authors and Affiliations

  1. School of Information Systems, Curtin Business School, Curtin University of Technology, Bentley, WA, 6102, Australia

    Hai Dong

  2. Decision Support and e-Service Intelligence Laboratory, Quantum Computation and Intelligent Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia

    Farookh Khadeer Hussain

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  1. Hai Dong
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  2. Farookh Khadeer Hussain
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Correspondence to Farookh Khadeer Hussain.

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Dong, H., Hussain, F.K. Service-requester-centered service selection and ranking model for digital transportation ecosystems. Computing 97, 79–102 (2015). https://doi.org/10.1007/s00607-013-0347-8

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