Resources for Research on Web Spam

Mailing List

We recommend you to subscribe to our mailing list. Datasets, challenges and conferences related to Web spam are posted to this low-volume, announcements-only mailing list.

Datasets

We host Web spam datasets developed by a collaborative effort by a team of volunteers. The goal of our dataset activity is to make available reference collections that should be:

• Large: the collections should include many examples of spam and non-spam content.
• Clean: the collections should contain little classification errors.
• Uniform: the collections should represent a uniform random sample over a set of pages or hosts.
• Broad: the collections should include as many different Web spam aspects as possible.
• Open: the collections should be freely available for researchers.

Currently we are hosting a set of collections for research on Web Spam. See datasets >>.

See also

ECML/PKDD Discovery Challenge 2010 — competition to identify methods for assessing Web Quality including spam.

Web Spam Challenge 2007/2008 — competition to identify methods for detecting Web Spam.

AIRWeb — workshop on Adversarial Information Retrieval on the Web

Source code (archived) — Truncated PageRank and Adaptive Estimation of Supporters, the algorithms proposed in a WebKDD'06 paper.