%0 Conference Paper %1 ntoulas2006spam %A Ntoulas, Alexandros %A Najork, Marc %A Manasse, Mark %A Fetterly, Dennis %B WWW '06: Proceedings of the 15th international conference on World Wide Web %C New York, NY, USA %D 2006 %I ACM %K features spam web %P 83--92 %R http://doi.acm.org/10.1145/1135777.1135794 %T Detecting spam web pages through content analysis %U http://portal.acm.org/citation.cfm?id=1135794 %X In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engines, to drive traffic to certain pages for fun or profit. This paper considers some previously-undescribed techniques for automatically detecting spam pages, examines the effectiveness of these techniques in isolation and when aggregated using classification algorithms. When combined, our heuristics correctly identify 2,037 (86.2%) of the 2,364 spam pages (13.8%) in our judged collection of 17,168 pages, while misidentifying 526 spam and non-spam pages (3.1%). %@ 1-59593-323-9

@inproceedings{ntoulas2006spam, abstract = {In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engines, to drive traffic to certain pages for fun or profit. This paper considers some previously-undescribed techniques for automatically detecting spam pages, examines the effectiveness of these techniques in isolation and when aggregated using classification algorithms. When combined, our heuristics correctly identify 2,037 (86.2%) of the 2,364 spam pages (13.8%) in our judged collection of 17,168 pages, while misidentifying 526 spam and non-spam pages (3.1%).}, added-at = {2008-04-07T10:41:46.000+0200}, address = {New York, NY, USA}, author = {Ntoulas, Alexandros and Najork, Marc and Manasse, Mark and Fetterly, Dennis}, biburl = {https://www.bibsonomy.org/bibtex/2c93f4228fd8552bede071569cdaa1ad9/beate}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, description = {Detecting spam web pages through content analysis}, doi = {http://doi.acm.org/10.1145/1135777.1135794}, interhash = {9f759273a5a5188d1053aa6f8fa7ff07}, intrahash = {c93f4228fd8552bede071569cdaa1ad9}, isbn = {1-59593-323-9}, keywords = {features spam web}, location = {Edinburgh, Scotland}, pages = {83--92}, publisher = {ACM}, timestamp = {2008-12-09T16:32:51.000+0100}, title = {Detecting spam web pages through content analysis}, url = {http://portal.acm.org/citation.cfm?id=1135794}, year = 2006 }