Web Pages Clustering and Concepts Mining: An approach towards Intelligent Information Retrieval

Fang Li, Martin Mehlitz, Liangming Feng, H. Sheng
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引用次数: 7

Abstract

The amount of information on the Web is growing at an exponential rate. Information overload has brought a heavy burden for modern life. Keyword based search engines no long fill the needs of many people. This paper introduces an approach towards intelligent information retrieval by providing clustered Web pages and minded concepts based on results of search engines. Web page clustering is based on SVD (singular value decomposition), concepts mining is implemented with a revision of Apriori algorithm. Experiments on three different kinds of keyword as queries to information retrieval have showed a promising result
网页聚类和概念挖掘:一种智能信息检索方法
网络上的信息量正以指数级的速度增长。信息超载给现代生活带来了沉重的负担。基于关键字的搜索引擎不再满足许多人的需求。本文介绍了一种基于搜索引擎的结果,通过提供聚类网页和思想概念来实现智能信息检索的方法。网页聚类是基于奇异值分解(SVD),概念挖掘是通过对Apriori算法的改进实现的。对三种不同类型的关键词作为信息检索的查询进行了实验,取得了令人满意的结果
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