Formalization of Link Farm Structure Using Graph Grammar

Kiattikun Chobtham, A. Surarerks, A. Rungsawang
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引用次数: 2

Abstract

A link farm is a set of web pages constructed to mislead the importance of target pages in search engine results by boosting their link-based ranking scores. In this paper, we introduce a new graph grammar model for expressing the structure of a link farm. Supervised graph grammar induction created by an expert is modified to fit the training data to explain the behavior and the properties of link farms. In the experiments, graph grammar can effectively recognize link farms from Yahoo's web spam dataset. The comparison among the number of applying production rules of spam and normal hosts indicates that graph grammar seem to be a good mechanism for detecting link spam.
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用图语法形式化链接场结构
链接农场是一组网页,通过提高其基于链接的排名分数来误导目标页面在搜索引擎结果中的重要性。本文引入了一种新的图语法模型来表达链接场的结构。由专家创建的监督图语法归纳被修改以适应训练数据,以解释链接农场的行为和属性。在实验中,图语法可以有效地识别来自雅虎网络垃圾数据集的链接农场。通过对垃圾邮件和正常主机应用产生规则数量的比较,表明图语法似乎是一种很好的检测链接垃圾邮件的机制。
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