用图语法形式化链接场结构

Kiattikun Chobtham, A. Surarerks, A. Rungsawang
{"title":"用图语法形式化链接场结构","authors":"Kiattikun Chobtham, A. Surarerks, A. Rungsawang","doi":"10.1109/AINA.2008.96","DOIUrl":null,"url":null,"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.","PeriodicalId":328651,"journal":{"name":"22nd International Conference on Advanced Information Networking and Applications (aina 2008)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Formalization of Link Farm Structure Using Graph Grammar\",\"authors\":\"Kiattikun Chobtham, A. Surarerks, A. Rungsawang\",\"doi\":\"10.1109/AINA.2008.96\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":328651,\"journal\":{\"name\":\"22nd International Conference on Advanced Information Networking and Applications (aina 2008)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference on Advanced Information Networking and Applications (aina 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AINA.2008.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference on Advanced Information Networking and Applications (aina 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINA.2008.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formalization of Link Farm Structure Using Graph Grammar
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.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信