【摘要】 随着互联网的迅猛发展,Web服务数量日益增多.然而,用户得到满意服务却很困难.根本原因在于目前Web服务基本是"一对多"的方式,相同的用户请求只能得到相同的服务.为了体现用户的个性需求,分析了Web服务的工作原理,收集用户的兴趣并建立向量模型,将之应用于服务发现、匹配和推荐,初步实现了个性Web服务.图2,参11.更多还原

【Abstract】 With the rapid development of the Internet,there were more and more Web services available. However,it is difficult to get the satisfactory service. The underlying reason is that the current Web services is based on "one-to-many" approach,in other words,the same user requests can only get the same service. In order to reflect the personality of the users’ need,we analyze the principle of Web services,collect the users’ interests and establish a vector model. Then the model is applied to service discovery,matching and recommendation. As a result,the personal Web service has been initially realized. 2figs.,11refs.更多还原