计算机应用与软件2017，Vol.34Issue(11)：20-25,73,7.DOI:10.3969/j.issn.1000-386x.2017.11.004
基于云模型的Web服务QoS预测
COLLABORATIVE WEB SERVICE QOS PREDICTION BASED ON CLOUD MODEL
摘要
Abstract
With the rapid growth of the number of Web services in recent years,the user-service QoS record matrix has become increasingly sparse.In order to solve the problem that the traditional collaborative filtering algorithm is not accurate enough in the sparse data sets,we improved collaborative filtering algorithm based on cloud model and applied the algorithm to predict the QoS of Web service.The similarity of cloud model was calculated by feature vector based on Euclidean distance,because that the Euclidean distance is sensitive to numerical.Considering users call the same service provider of different services have similar experience,we use cloud model similarity and services information to filling the QoS matrix.To solve the problem that sparse data set leads low prediction accuracy,we predicted the QoS of service user by using the filled QoS matrix.The experimental results show this algorithm can effectively improve the prediction accuracy of QoS compared with the traditional collaborative filtering method.关键词
Web服务/QoS预测/协同过滤/云模型/相似度计算Key words
Web service/QoS prediction/Collaborative filtering/Cloud model/Similarity computation分类
信息技术与安全科学引用本文复制引用
段秋实,胡志刚..基于云模型的Web服务QoS预测[J].计算机应用与软件,2017,34(11):20-25,73,7.基金项目
国家自然科学基金项目(61572525). （61572525）
