%0 Conference Paper
%A Geng, Guang-Gang
%A Li, Qiudan
%A Zhang, Xinchang
%B 18th International World Wide Web Conference
%C Madrid, Spain
%D 2009
%F www2009:173
%P 1185-1185
%T Link Based Small Sample Learning for Web Spam Detection
%U http://www2009.eprints.org/173/
%X Robust statistical learning based web spam detection sys-  tem often requires large amounts of labeled training data.  However, labeled samples are more difficult, expensive and  time consuming to obtain than unlabeled ones. This pa-  per proposed link based semi-supervised learning algorithms  to boost the performance of a classifier, which integrates  the traditional Self-training with the topological dependency  based link learning. The experiments with a few labeled  samples on standard WEBSPAM-UK2006 benchmark showed  that the algorithms are effective.