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 <http://www2009.eprints.org/view/author/Geng=3AGuang-Gang=3A=3A.html> and Li, Qiudan <http://www2009.eprints.org/view/author/Li=3AQiudan=3A=3A.html> and Zhang, Xinchang <http://www2009.eprints.org/view/author/Zhang=3AXinchang=3A=3A.html> (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