From an email: Adversarial Information Retrieval addresses tasks such as gathering, indexing, filtering, retrieving, and ranking information from collections wherein a subset has been manipulated maliciously. On the Web, the predominant form of such manipulation is "search engine spamming" or spamdexing, i.e., malicious attempts to influence the outcome of ranking algorithms, aimed at getting an undeserved high ranking for some items in the collection. We solicit both full and short papers on any aspect of adversarial information retrieval on the Web. Particular areas of interest include, but are not
limited to:
The Workshop will take place at the WWW 2007 conference in Banff, Canada.
2. Web Spam Challenge
This year, we are introducing a novel element: a Web Spam Challenge for testing web spam detection systems. We will be using the WEBSPAM-UK2006 collection for Web Spam Detection.
The collection includes large set of web pages, a web graph, and human-provided labels for a set of hosts. We will also provide a set of features extracted from the contents and links in the collection, which may be used by the participant teams in addition to any automatic technique they choose to use.
We ask that participants of the Web Spam Challenge submit predictions (normal/spam) for all unlabeled hosts in the collection. Predictions will be evaluated and results will be announced at the AIRWeb 2007 workshop.
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