Adversarial information retrieval


Adversarial information retrieval is a topic in information retrieval related to strategies for working with a data source where some portion of it has been manipulated maliciously. Tasks can include gathering, indexing, filtering, retrieving and ranking information from such a data source. Adversarial IR includes the study of methods to detect, isolate, and defeat such manipulation.
On the Web, the predominant form of such manipulation is search engine spamming, which involves employing various techniques to disrupt the activity of web search engines, usually for financial gain. Examples of spamdexing are link-bombing, comment or referrer spam, spam blogs, malicious tagging. Reverse engineering of ranking algorithms, advertisement blocking, click fraud, and web content filtering may also be considered forms of adversarial data manipulation.

Topics

Topics related to Web spam :
Other topics:
The term "adversarial information retrieval" was first coined in 2000 by Andrei Broder during the Web plenary session at the TREC-9 conference.