Abstract is missing.
- Looking into the past to better classify web spamNa Dai, Brian D. Davison, Xiaoguang Qi. 1-8 [doi]
- A study of link farm distribution and evolution using a time series of web snapshotsYoung-joo Chung, Masashi Toyoda, Masaru Kitsuregawa. 9-16 [doi]
- Web spam filtering in internet archivesMiklós Erdélyi, András A. Benczúr, Julien Masanés, Dávid Siklósi. 17-20 [doi]
- Web spam identification through language model analysisJuan Martinez-Romo, Lourdes Araujo. 21-28 [doi]
- An empirical study on selective sampling in active learning for splog detectionTaichi Katayama, Takehito Utsuro, Yuuki Sato, Takayuki Yoshinaka, Yasuhide Kawada, Tomohiro Fukuhara. 29-36 [doi]
- Linked latent Dirichlet allocation in web spam filteringIstván Bíró, Dávid Siklósi, Jácint Szabó, András A. Benczúr. 37-40 [doi]
- Social spam detectionBenjamin Markines, Ciro Cattuto, Filippo Menczer. 41-48 [doi]
- Tag spam creates large non-giant connected componentsNicolas Neubauer, Robert Wetzker, Klaus Obermayer. 49-52 [doi]
- Nullification test collections for web spam and SEOTimothy Jones, Ramesh S. Sankaranarayana, David Hawking, Nick Craswell. 53-60 [doi]
- Web spam challenge proposal for filtering in archivesAndrás A. Benczúr, Miklós Erdélyi, Julien Masanés, Dávid Siklósi. 61-62 [doi]