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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

Web Spam Challenge — 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.

For inquiries please contact Carlos Castillo
Last updated: January 15, 2008.