摘要
设计实现了一个高扩展性的元搜索引擎,并提出基于关联规则的聚类算法作用于查询结果,大大提高查询结果的可浏览性。实验结果表明该聚类算法在复杂度和聚类效果上均优于传统的k-means算法。
An high extensible meta-search engine system is designed and implemented,and an algorithm for clustering search results based on association rule is introduced to improve the browsability of search results.The experiment prove that the clustering algorithm can get much better performance than traditional k-means algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第22期182-185,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60372059)。
关键词
元搜索引擎
聚类
关联规则
meta-seareh engine
clustering
association rule
