摘要
提出了一种全新的服务发现方法。其核心思想是通过从以往服务组合序列中发现高频率出现的组合序列集,然后利用该序列集进行服务推荐。给出了服务推荐系统框架;对序列模式算法进行了改进,以适应连续序列挖掘的需求,并描述了服务推荐的匹配算法;最后通过在一个原型系统的性能测试证明服务推荐方法是可行和有效的。
A novel services discovery method was brought forward. The core idea of the method was to seek frequently-used sets of services combination sequences from the preexistent ones, then used the frequent sequences to recommend the services. The framework of services recommendation was outlined firstly. Then, the sequence pattern algorithm was improved to fulfill the demand of concatenate sequence mining, and the matching algorithm of service recommendation was aslo described. Finally, the services recommendation method was proved to be feasible and effective by the capability testing runed on the prototype system.
出处
《计算机应用研究》
CSCD
北大核心
2007年第6期75-78,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60533040)
关键词
WEB服务
服务发现
服务推荐
序列挖掘
Web service
services discovery
services recommendation
sequence mining