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A Web Crawler Detection Algorithm Based on Web Page Member List

Weigang Guo, Yong Zhong, Jianqin Xie

Open publisher page 14 citations

Abstract

Following the widely use of search engines, the impact Web crawlers have on the Web sites should not be ignored. After analyzing the navigational patterns of Web crawlers from Web logs, a new algorithm based on Web page member list is proposed. The algorithm constructs one member list for every Web page and one show table for every visitor. The experiment shows that the new algorithm can detect the unknown crawlers and unfriendly crawlers who do not obey the Standard for Robot Exclusion.

About this research paper

What this paper is about

Following the widely use of search engines, the impact Web crawlers have on the Web sites should not be ignored. After analyzing the navigational patterns of Web crawlers from Web logs, a new algorithm based on Web page member list is proposed. The algorithm constructs one member list for every Web page and one show table for every visitor. The experiment shows that the new algorithm can detect the unknown crawlers and unfriendly crawlers who do not obey the Standard for Robot Exclusion.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Following the widely use of search engines, the impact Web crawlers have on the Web sites should not be ignored. After analyzing the navigational patterns of Web crawlers from Web logs, a new algorithm based on Web page member list is proposed. The algorithm constructs one member list for every Web page and one show table for every visitor. The experiment shows that the new algorithm can detect the unknown crawlers and unfriendly crawlers who do not obey the Standard for Robot Exclusion.

Key concepts: Web crawler, Web page, Static web page, Computer science, World Wide Web, Focused crawler, Web search engine, Site map

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