@inproceedings{www2009173,
       booktitle = {18th International World Wide Web Conference},
           month = {April},
           title = {Link Based Small Sample Learning for Web Spam Detection},
          author = {Guang-Gang Geng and Qiudan Li and Xinchang Zhang},
            year = {2009},
           pages = {1185--1185},
             url = {http://www2009.eprints.org/173/},
        abstract = {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.
}
}