Zhou Fang
ABSTRACT
Nowadays the more and more customers start to select and use the composite Web service on Internet, at the same time the services with the same functional properties but the different non-functional properties are increasingly emerging on Internet, which cause the information overload. Then the customer is not able to completely understand various composite Web services, and he/she is not able to define reasonable value preferences clearly on them. Therefore, this paper presents a potential value preference elicitation approach based on SC-VPM model and KNN algorithm, so as to support the third-party brokers to recommends top-satisfying services to customers according to the value preferences of the customers. In the approach, the inference rules based on the semantic relationships in SC-VPM model are used to preliminarily supplement the initial customer-value preference matrix firstly, so as to reduce the impact of the matrix sparsity on the following prediction. And then the KNN algorithm is used to identify the value preferences of K nearest neighbors customers, and the value preference vector of the target customer can be predicted and obtained. At last, a case is used to validate the proposed approach.
- H.F. Wang, C. Xu, Z.J. Wang, et al. "Extracting Fine-Grained Service Value Features and Distributions for Accurate Service Recommendation," In proc. of 2017 IEEE 24th International Conference on Web Service, pp. 277--284, 2017.Google Scholar
Cross Ref
- F.D. Shu, Y.Z. Zhao, J.Z. Wang, et al. "User-driven requirements elicitation method with the support of personalized knowledg," Journal of Computer Research and Development, 2007, vol.44, No.6: pp. 1044--1052.Google ScholarCross Ref
- B. Wang, H.Y. Zhao, W. Zhang, et al. "An approach to analyzing and resolving problems in the problem-driven requirements elicitation," Journal of Computer Research and Development, 2013, vol.50, no.7: pp. 1513--1523.Google Scholar
- T. Nguyen, A. Colman, "A feature-oriented approach for Web service customization," In proc. of 8th IEEE International Conference on Web Service, pp. 393--400, 2010.Google Scholar
- C. Castro-Herrera, C. Duan, J. Cleland-Huang, et al. "Using data mining and recommender systems to facilitate large-scale, open, and inclusive requirements elicitation processes," In proc. of 16th IEEE International Conference on Requirements Engineering, pp. 165--168, 2008.Google Scholar
- C. Castro-Herrera, J. Cleland-Huang, B. Mobasher, "Enhancing stakeholder profiles to improve recommendations in online requirements elicitation," In proc. of 16th IEEE International Conference on Requirements Engineering, pp. 37--46, 2009.Google Scholar
- P. Laurent, J. Cleland-Huang, "Lessons learned from open source projects for facilitating online requirements processes," Requirements Engineering: Foundation for Software Quality, Berlin: Springer, 2009, pp. 240--255.Google Scholar
- P.F. Liu, C. Ma, Z.J. Wang, M. Comerio, X.F. Xu, C. Batini, "Generating Global Contract for Composite Services," In proc. of 2015 International Conference on Services Science, pp. 9--616, 2015.Google ScholarDigital Library
- M. Comerio, "Value-based Service Contract Selection," In proc. of 2013 International Conference on Service Computing, pp. 611--618, 2013.Google ScholarDigital Library
Index Terms
- A Potential Value Preferences Elicitation Approach Based on SC-VPM and KNN
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