Web爬行

IF 8.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Foundations and Trends in Information Retrieval Pub Date : 2010-03-01 DOI:10.1561/1500000017

Christopher Olston, Marc Najork

{"title":"Web爬行","authors":"Christopher Olston, Marc Najork","doi":"10.1561/1500000017","DOIUrl":null,"url":null,"abstract":"This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth is that there are many challenges ranging from systems concerns such as managing very large data structures to theoretical questions such as how often to revisit evolving content sources. This survey outlines the fundamental challenges and describes the state-of-the-art models and solutions. It also highlights avenues for future work.","PeriodicalId":48829,"journal":{"name":"Foundations and Trends in Information Retrieval","volume":"20 1","pages":"175-246"},"PeriodicalIF":8.3000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Web Crawling\",\"authors\":\"Christopher Olston, Marc Najork\",\"doi\":\"10.1561/1500000017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth is that there are many challenges ranging from systems concerns such as managing very large data structures to theoretical questions such as how often to revisit evolving content sources. This survey outlines the fundamental challenges and describes the state-of-the-art models and solutions. It also highlights avenues for future work.\",\"PeriodicalId\":48829,\"journal\":{\"name\":\"Foundations and Trends in Information Retrieval\",\"volume\":\"20 1\",\"pages\":\"175-246\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foundations and Trends in Information Retrieval\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1561/1500000017\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foundations and Trends in Information Retrieval","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1561/1500000017","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 2

摘要

这是对网络爬行的科学和实践的调查。虽然乍一看，网络爬行似乎只是广度优先搜索的一个应用，但事实是存在许多挑战，从系统问题(如管理非常大的数据结构)到理论问题(如多久重新访问一次不断发展的内容源)。本调查概述了基本挑战，并描述了最先进的模型和解决方案。它还强调了未来工作的途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Web Crawling

This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth is that there are many challenges ranging from systems concerns such as managing very large data structures to theoretical questions such as how often to revisit evolving content sources. This survey outlines the fundamental challenges and describes the state-of-the-art models and solutions. It also highlights avenues for future work.

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

Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

39.10

自引率

0.00%

发文量

期刊介绍： The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.

期刊最新文献

Multi-hop Question Answering User Simulation for Evaluating Information Access Systems Conversational Information Seeking Perspectives of Neurodiverse Participants in Interactive Information Retrieval Efficient and Effective Tree-based and Neural Learning to Rank