Exploring both Content and Link Quality for Anti-Spamming Export

@inproceedings{zhang_2006_exploring, abstract = {Search engines are playing a more and more important role in discovering information on the web nowadays. Spam web pages, however, are employing various tricks to bamboozle search engines, therefore achieving undeserved ranks. In this paper, we propose a new page importance metric, which takes both the content quality and the link quality into consideration. Based on this metric, we can judge the trust scores of all the web pages using the web link graph. Experimental results running on over 15 million web pages show that our method can filter out spam and identify reputable sites effectively.}, address = {Washington, DC, USA}, author = {Zhang, Lei and Zhang, Yi and Zhang, Yan and Li, Xiaoming}, booktitle = {CIT '06: Proceedings of the Sixth IEEE International Conference on Computer and Information Technology}, citeulike-article-id = {3919162}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1169766}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/CIT.2006.90}, citeulike-linkout-2 = {http://www.cis.pku.edu.cn/faculty/system/zhangyan/papers/antispam-lc.pdf}, citeulike-linkout-3 = {http://www.cis.pku.edu.cn/faculty/system/zhangyan/pubs.htm}, comment = {Iterative quality-of-content and quality-of-links calculation}, doi = {10.1109/CIT.2006.90}, isbn = {0-7695-2687-X}, keywords = {adversarial-ir, graph, text}, posted-at = {2009-01-21 08:49:23}, priority = {0}, publisher = {IEEE Computer Society}, title = {Exploring both Content and Link Quality for Anti-Spamming}, url = {http://dx.doi.org/10.1109/CIT.2006.90}, year = {2006} }

TY - CONF ID - zhang_2006_exploring L3 - citeulike-article-id:3919162 N2 - Search engines are playing a more and more important role in discovering information on the web nowadays. Spam web pages, however, are employing various tricks to bamboozle search engines, therefore achieving undeserved ranks. In this paper, we propose a new page importance metric, which takes both the content quality and the link quality into consideration. Based on this metric, we can judge the trust scores of all the web pages using the web link graph. Experimental results running on over 15 million web pages show that our method can filter out spam and identify reputable sites effectively. SN - 0-7695-2687-X AD - Washington, DC, USA TI - Exploring both Content and Link Quality for Anti-Spamming PB - IEEE Computer Society T2 - CIT '06: Proceedings of the Sixth IEEE International Conference on Computer and Information Technology KW - adversarial-ir KW - graph KW - text N1 - Iterative quality-of-content and quality-of-links calculation AU - Zhang, Lei AU - Zhang, Yi AU - Zhang, Yan AU - Li, Xiaoming PY - 2006/// UR - http://dx.doi.org/10.1109/CIT.2006.90 ER -