Design and implementation of meta-search engine system with clustering

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (22): 182-185.

• 数据库与信息处理 • Previous Articles Next Articles

Design and implementation of meta-search engine system with clustering

QIAN Gong-wei，NI Lin，TIAN Tian，CAO Rong

Department of Electronic Engineering and Information Science，University of Science and Technology of China，Hefei 230027，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-08-01 Published:2007-08-01
Contact: QIAN Gong-wei

带聚类处理的元搜索引擎的设计与实现

钱功伟，倪林，田甜，曹荣

中国科学技术大学电子工程与信息科学系，合肥 230027

通讯作者: 钱功伟

Abstract

Abstract: 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.

Key words: meta-search engine, clustering, association rule

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。

关键词: 元搜索引擎, 聚类, 关联规则

QIAN Gong-wei，NI Lin，TIAN Tian，CAO Rong. Design and implementation of meta-search engine system with clustering[J]. Computer Engineering and Applications, 2007, 43(22): 182-185.

钱功伟，倪林，田甜，曹荣. 带聚类处理的元搜索引擎的设计与实现[J]. 计算机工程与应用, 2007, 43(22): 182-185.

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Design and implementation of meta-search engine system with clustering

带聚类处理的元搜索引擎的设计与实现

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