基于历史用户QoS感知的Web服务发现方法

摘要

目前的Web服务发现方法,由于没有充分利用用户情境信息,导致在服务发现时间和结果准确率方面存在不足.首先对包括当前用户在内的情境相似的用户进行了聚类,缩小了服务发现的范围；然后,在此基础上利用当前用户偏好信息及情境相似的历史用户感知到的候选服务的QoS数据,给出了一种基于历史用户QoS感知的Web服务发现方法,包括候选服务的QoS数据获取和综合权重计算；最后,结合实验并与其他Web服务发现方法进行比较,证明了该方法在服务发现结果的准确率和时间效率方面均有了一定的提升.%The existing Web services discovery method has limitations in time cost and accuracy because it does not make full use of the user context. Firstly, the clustering of similar user context was implemented to greatly reduce retrieval range of Web services. Secondly, based on this, making use of the current users' preference information and the history users' QoS-aware data, a method of Web services discovery based on history users' QoS-awareness was proposed. Finally, the comparison to other Web services methods indicates that this method is better than several other methods both in time cost and accuracy of Web services discovery.