An Advanced Approach on Focused Crawling with Anchor Text

S. Devi
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引用次数: 0

Abstract

Title: An advanced approach with focused crawling for various anchor texts is discussed in this paper. Background: Most of the search engines search the web with the anchor text to retrieve the relevant pages and answer the queries given by the users. The crawler usually searches the web pages and filters the unnecessary pages which can be done through focused crawling. A focused crawler generates its boundary to crawl the relevant pages based on the link and ignores the irrelevant pages on the web. Methods and Findings: In this paper, an effective focused crawling method is implemented to improve the quality of the search. Here, three learning phases are considered namely, content-based, link-based and sibling-based learning are undergone to improve the navigation of the search. In this approach, the crawler crawls through the relevant pages efficiently and more relevant pages are retrieved in an effective way. Study Objective: The objective of the study is that more number of relevant pages is retrieved for different anchor texts with three learning phases using focused crawling.
锚文本集中爬行的一种高级方法
标题:本文讨论了一种针对各种锚文本的集中爬行的高级方法。背景:大多数搜索引擎搜索网络与锚文本检索相关页面,并回答用户提出的问题。爬虫通常搜索网页并过滤不需要的页面,这可以通过集中爬行来完成。聚焦爬虫生成边界,根据链接抓取相关页面,忽略网络上不相关的页面。方法和发现:本文实现了一种有效的聚焦爬行方法,以提高搜索质量。在这里,考虑了三个学习阶段,即基于内容的学习,基于链接的学习和基于兄弟姐妹的学习,以改善搜索的导航。在这种方法中,爬行器可以高效地在相关页面中爬行,并以有效的方式检索到更多的相关页面。研究目的:本研究的目的是使用集中爬行的三个学习阶段为不同的锚文本检索更多的相关页面。
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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