在重要信息检索中有效利用页面排名和HITS

Shailendra G. Pawar, P. Natani
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引用次数: 5

摘要

万维网是信息的宝库。它包含了大量的相互关联的数据,但很难从中找到相关的数据。用户使用搜索引擎搜索相关信息。排名算法被搜索引擎用来检索最相关和最受欢迎的网页。其中,PageRank和HITS(超链接诱导主题搜索)算法非常流行。本文简要讨论了PageRank和HITS算法及其工作原理。本文提出了一种同时使用Page Rank和HITS算法来寻找最相关网页的方法,提高了网页搜索的结果。实验结果表明,该方法的性能优于单个算法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective utilization of page ranking and HITS in significant information retrieval
World Wide Web is the treasury of information. It contain huge amount of interrelated data but it is very difficult to find the relevant data from it. To search for relevant information user uses search engine. Ranking algorithms are used by search engine to retrieve the most relevant and popular web pages. PageRank and HITS (Hyperlink-Induced Topic Search) algorithm are very popular among them. In this paper PageRank and HITS algorithm and their working are discussed briefly. This paper proposed an approach in which both Page Rank and HITS algorithm applied simultaneously to find most relevant web pages and improve the result of web searching. An experimental result shows that performance of proposed approach is better than individual application of algorithms.
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