优化网络爬虫结果的技术综述

Anuja Lawankar, Nikhil Mangrulkar
{"title":"优化网络爬虫结果的技术综述","authors":"Anuja Lawankar, Nikhil Mangrulkar","doi":"10.1109/STARTUP.2016.7583952","DOIUrl":null,"url":null,"abstract":"Now a days Internet is widely used by users to satisfy their information needs. In the exponential growth of web, searching for useful information has become more difficult. Web crawler helps to extract the relevant and irrelevant links from the web. To optimizing this irrelevant links various algorithms and technique are used. Discovering information by using web crawler have certain issues; such as different URLs having the similar text which increase the time complexity of the search, crawler resources are wasted in fetching duplicate pages and larger storage is also required to store these web pages. These are some of the roadblocks in getting optimum results from the crawler. This paper provides a deep study of existing information retrieval techniques (I.R) which would help researchers to retrieve optimum result links and information.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A review on techniques for optimizing web crawler results\",\"authors\":\"Anuja Lawankar, Nikhil Mangrulkar\",\"doi\":\"10.1109/STARTUP.2016.7583952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Now a days Internet is widely used by users to satisfy their information needs. In the exponential growth of web, searching for useful information has become more difficult. Web crawler helps to extract the relevant and irrelevant links from the web. To optimizing this irrelevant links various algorithms and technique are used. Discovering information by using web crawler have certain issues; such as different URLs having the similar text which increase the time complexity of the search, crawler resources are wasted in fetching duplicate pages and larger storage is also required to store these web pages. These are some of the roadblocks in getting optimum results from the crawler. This paper provides a deep study of existing information retrieval techniques (I.R) which would help researchers to retrieve optimum result links and information.\",\"PeriodicalId\":355852,\"journal\":{\"name\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STARTUP.2016.7583952\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STARTUP.2016.7583952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

现在,互联网被用户广泛使用,以满足他们的信息需求。在网络的指数级增长中,搜索有用的信息变得越来越困难。网络爬虫有助于从网络中提取相关和不相关的链接。为了优化这些不相关的链接,使用了各种算法和技术。利用网络爬虫发现信息存在一定的问题;例如,不同的url具有相似的文本,这增加了搜索的时间复杂度,爬虫资源浪费在获取重复的页面上,并且还需要更大的存储空间来存储这些网页。这些都是从爬虫中获得最佳结果的一些障碍。本文对现有的信息检索技术进行了深入的研究,以帮助研究人员检索最优的结果链接和信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review on techniques for optimizing web crawler results
Now a days Internet is widely used by users to satisfy their information needs. In the exponential growth of web, searching for useful information has become more difficult. Web crawler helps to extract the relevant and irrelevant links from the web. To optimizing this irrelevant links various algorithms and technique are used. Discovering information by using web crawler have certain issues; such as different URLs having the similar text which increase the time complexity of the search, crawler resources are wasted in fetching duplicate pages and larger storage is also required to store these web pages. These are some of the roadblocks in getting optimum results from the crawler. This paper provides a deep study of existing information retrieval techniques (I.R) which would help researchers to retrieve optimum result links and information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信