预测Web QoS的协作过滤算法  

A Collaborative Filtering Approach for Web QoS Prediction

作　　者：张莉[1,2] 张斌[2] 黄利萍[1,2] 朱志良[1] 

机构地区：[1]东北大学软件学院,辽宁沈阳110819 [2]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2011年第2期202-206,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(61073062);辽宁省自然科学基金资助项目(20102061)

摘　　要：不同环境中用户对同一服务质量的感受可能存在较大差别,针对这一问题,提出了一种QoS预测方法.该方法不仅使用了历史QoS信息,还将环境因素、用户输入等对QoS的影响考虑进去.以这些信息为基础,首先通过高斯法对原始信息数据进行规范化处理,然后计算其他服务与待预测服务的相似度,找到与目标服务相似度较大的服务集,并根据服务相似度预测空白信息,在此基础上计算用户的相似度,从而为用户预测目标服务的QoS值.实验结果表明,这种方法可以显著提高Web服务质量预测的准确性.Due to the different backgrounds and experiences,users often have different impressions of the same QoS though they have been served all the same.An approach to predict QoS was therefore proposed,based on not only the historical QoS data,but also the factors of environment and users＇ inputs.Normalizing the original data by Gauss method,a set of Web services highly similar to the target service was picked out via the similarity computation to compare the target service to be predicted with other services.Then,the blank datasheet was predicted according to the service similarity so as to compute the similarity between users for the pridiction of QoS data of users＇ target service.Experimental results showed that the approach proposed can improve the prediction accuracy of QoS for Web service.

关 键 词：WEB服务 协作过滤 QoS预测 相似性计算 相关系数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]