Information retrieval in web crawling: A survey

C. Saini, V. Arora
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引用次数: 24

Abstract

In today's scenario, World Wide Web (WWW) is flooded with huge amount of information. Due to growing popularity of the internet, finding the meaningful information among billions of information resources on the WWW is a challenging task. The information retrieval (IR) provides documents to the end users which satisfy their need of information. Search engine is used to extract valuable information from the internet. Web crawler is the principal part of search engine; it is an automatic script or program which can browse the WWW in automatic manner. This process is known as web crawling. In this paper, review on strategies of information retrieval in web crawling has been presented that are classifying into four categories viz: focused, distributed, incremental and hidden web crawlers. Finally, on the basis of user customized parameters the comparative analysis of various IR strategies has been performed.
网络爬行中的信息检索:综述
在今天的场景中,万维网(WWW)充斥着大量的信息。随着互联网的日益普及,从万维网上数以亿计的信息资源中寻找有意义的信息是一项具有挑战性的任务。信息检索(information retrieval, IR)是向最终用户提供满足其信息需求的文档。搜索引擎用于从互联网中提取有价值的信息。网络爬虫是搜索引擎的主体;它是一种自动脚本或程序,可以自动浏览WWW。这个过程被称为网络爬行。本文对网络爬虫中的信息检索策略进行了综述,并将其分为四类:集中式、分布式、增量式和隐式网络爬虫。最后,在用户自定义参数的基础上,对各种红外策略进行了对比分析。
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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