creators_name: Geng, Guang-Gang creators_name: Li, Qiudan creators_name: Zhang, Xinchang type: conference_item datestamp: 2009-04-06 19:13:58 lastmod: 2009-04-07 14:03:07 metadata_visibility: show title: Link Based Small Sample Learning for Web Spam Detection ispublished: pub full_text_status: public pres_type: poster 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. date: 2009-04 pagerange: 1185-1185 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Geng, Guang-Gang and Li, Qiudan and Zhang, Xinchang (2009) Link Based Small Sample Learning for Web Spam Detection. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/173/1/p1185.pdf