JSW 2012 Vol.7(12): 2717-2725 ISSN: 1796-217X
doi: 10.4304//jsw.7.12.2717-2725
doi: 10.4304//jsw.7.12.2717-2725
Web Services Evaluation Predication Model based on Time Utility
Guisheng Yin, Xiaohui Cui, Yuxin Dong, Jianguo Zhang
College of Computer Science and Technology, Harbin Engineering University, Harbin, China
Abstract—Current predication models fail to consider the time utility of the web services evaluation predication and treat the different historical ratings in the same way. To solve this problem, we put forward web service evaluation predication model based on time utility. In the model, naïve quantification method and complex quantification method are proposed to achieve the distinct and proper time utility for the services evaluation predication procedure. Then, the quantification results are used to optimize the length of the predication windows. Also, feedback control strategy is involved to enhance the robust of the model when facing malicious. Experimental results shows our model would calculate the proper time utility and obtain the lower predication error compared with current predication models. Feedback control strategy is an effective method to reduce the impact of malicious ratings and guarantee the lower predication error compared with the model without the feedback control strategy.
Index Terms—web services, time utility, quantification of time utility, predication, feedback control
Abstract—Current predication models fail to consider the time utility of the web services evaluation predication and treat the different historical ratings in the same way. To solve this problem, we put forward web service evaluation predication model based on time utility. In the model, naïve quantification method and complex quantification method are proposed to achieve the distinct and proper time utility for the services evaluation predication procedure. Then, the quantification results are used to optimize the length of the predication windows. Also, feedback control strategy is involved to enhance the robust of the model when facing malicious. Experimental results shows our model would calculate the proper time utility and obtain the lower predication error compared with current predication models. Feedback control strategy is an effective method to reduce the impact of malicious ratings and guarantee the lower predication error compared with the model without the feedback control strategy.
Index Terms—web services, time utility, quantification of time utility, predication, feedback control
Cite: Guisheng Yin, Xiaohui Cui, Yuxin Dong, Jianguo Zhang, "Web Services Evaluation Predication Model based on Time Utility," Journal of Software vol. 7, no. 12, pp. 2717-2725, 2012.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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