作　　者： ; ; ; ;

机构地区： 安徽师范大学数学计算机科学学院

出　　处： 《计算机技术与发展》 2013年第2期127-130,共4页

摘　　要： 随着Web教育资源指数级增长以及受污染程度的加剧,如何汇聚异构网络环境下面向用户的Web教育资源成为新的挑战。为了使终端用户能够获得高效有序的Web教育资源,文中提出了一种基于模糊集和RSS的Web教育资源Rank算法,并进行了相关分析。算法首先通过模糊集中的Euclid模糊度刻画查询内容与资源之间的模糊关联度;其次采用RSS聚合技术快速汇聚用户需要的Web教育资源;最后基于中国知网数据集的实验表明,该算法能满足Web教育资源终端用户个性化资源获取的需要。 With the exponential growth of Web educational resources and the degree of contamination increased, how to aggregate user-o- riented Web educational resources has become the new challenge in the heterogeneous network environment. In this paper,present a kind of Web educational resources Rank algorithm based on fuzzy sets and RSS in order to make terminal users obtain efficient Web education- al resources ordered. First of all, the algorithm depicts the fuzzy association degree between the query and the resources through the Euclid ambiguity of fuzzy sets. Second,the use of RSS aggregation technologies rapidly aggregates the Web educational resources users needs l Finally, the experiment of CNKI data set shows that the algorithm can meet the needs of personalized educational resources access.

关 键 词： 模糊集 教育资源 算法

领　　域： [自动化与计算机技术] [自动化与计算机技术]