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Security and Communication Networks
Volume 2017 (2017), Article ID 9192084, 9 pages
https://doi.org/10.1155/2017/9192084
Research Article

Trusted Service Scheduling and Optimization Strategy Design of Service Recommendation

School of Information Science and Engineering, Qufu Normal University, Rizhao, Shandong 276826, China

Correspondence should be addressed to Xiaona Xia; moc.anis@nxaix

Received 12 August 2017; Accepted 9 November 2017; Published 5 December 2017

Academic Editor: Chang Liu

Copyright © 2017 Xiaona Xia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

More and more Web services raise the demands of personalized service recommendation; there exist some recommendation technologies, which improve the qualities of service recommendation by using service ranking and collaborative filtering. However, privacy and security are also important issues in service scheduling process; social relationships have been the key factors of interpersonal communication; service selection based on user preferences has become an inevitable trend. Starting from user demand preferences, this paper analyzes social topology and service demand information and obtains trusted social relationships; then we construct the fusion model of service historical preferences and potential ones; according to social service recommendation demands, TSRSR algorithm has completed designing. Through experiments, TSRSR algorithm is much better than the others, which can effectively improve potential preferences’ learning. Furthermore, the research results of this paper have more significance to study the security and privacy of service recommendation.