Collaborative cyberporn filtering with collective intelligence

Lung Hao Lee, Hsin Hsi Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

9 引文 斯高帕斯(Scopus)

摘要

This paper presents a user intent method to generate blacklists for collaborative cyberporn filtering. A novel porn detection framework that finds new pornographic web pages by mining user search behaviors is proposed. It employs users' clicks in search query logs to select the suspected web pages without extra human efforts to label data for training, and determines their categories with the help of URL host name and path information, but without web page content. We adopt an MSN porn data set to explore the effectiveness of our method. This user intent approach achieves high precision, while maintaining favorably low false positive rate. In addition, real-life filtering simulation reveals that our user intent method with its accumulative update strategy achieves 43.36% of blocking rate, while maintaining a steadily less than 7% of over-blocking rate.

原文???core.languages.en_GB???
主出版物標題SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
發行者Association for Computing Machinery
頁面1153-1154
頁數2
ISBN(列印)9781450309349
DOIs
出版狀態已出版 - 2011
事件34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011 - Beijing, China
持續時間: 24 7月 201128 7月 2011

出版系列

名字SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011
國家/地區China
城市Beijing
期間24/07/1128/07/11

指紋

深入研究「Collaborative cyberporn filtering with collective intelligence」主題。共同形成了獨特的指紋。

引用此