OTHER
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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