Abstract
In view of the current service selection method, the service attribute of the service requester itself and the service selection method based on collaborative filtering are not considered. The paper will combine the filtering technology with the trust measurement method. According to the service requestor’s personality attribute characteristics of the service selection process, the introduction of the user (service requestor) relevance, and calculate the recommended credibility, the use of analytic hierarchy process to determine the weight of the service reputation value. A Trusted Service Selection Model Based on Collaborative Filtering. The simulation results show that the proposed method can effectively avoid the malicious attacks of service providers and improve the efficiency of service selection.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61472136; 61772196), the Hunan Provincial Focus Social Science Fund (2016ZBB006) and Hunan Provincial Social Science Achievement Review Committee results appraisal identification project (Xiang social assessment 2016JD05).
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Jiang, W., Xu, Y. (2017). A New Service Selection Method Based on Service Depository Relevance. In: Xu, M., Qin, Z., Yan, F., Fu, S. (eds) Trusted Computing and Information Security. CTCIS 2017. Communications in Computer and Information Science, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-10-7080-8_7
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DOI: https://doi.org/10.1007/978-981-10-7080-8_7
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