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A classification framework for web robots

Derek Doran, Swapna S. Gokhale

发表年份
2012
引用次数
20

摘要

The behavior of modern web robots varies widely when they crawl for different purposes. In this article, we present a framework to classify these web robots from two orthogonal perspectives, namely, their functionality and the types of resources they consume. Applying the classification framework to a year‐long access log from the UConn SoE web server, we present trends that point to significant differences in their crawling behavior.

关键词

CrawlingRobotComputer sciencePoint (geometry)World Wide WebWeb crawlerWeb serverWeb applicationInformation retrievalArtificial intelligence

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