一种基于Haar小波变换的搜索结果聚类方法

2009 International Conference on Future Computer and Communication Pub Date : 2009-04-03 DOI:10.1109/ICFCC.2009.142

Shawki A. Al-Dubaee, Nesar Ahmad, H. Abdulla, V. Snás̃el

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引用次数: 3

摘要

在传统的搜索引擎中，用户不太容易找到给定查询的相关网页列表(片段)。因此，需要通过对搜索结果进行聚类，以更好的方式检索和查找相关信息。提出了一种利用Haar小波变换对搜索结果进行聚类的新方法。我们解释了哈尔小波变换的使用如何为上述问题提供了一个相当好的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Search Result Clustering Using Haar Wavelet Transform

In traditional search engines, it is not so easy for users to find relevant Web pages list (snippet) of a given query. Therefore, there is a need to retrieve and find the relevant information in a better way by clustering the search results. This paper presents a new approach for clustering search results using Haar wavelet transform. We explain how uses of Haar wavelet transform offer a reasonably good solution for the above.

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2009 International Conference on Future Computer and Communication

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