Author: Nicholas Kushmerick
Source: [UCI](http://archive.ics.uci.edu/ml/datasets/Internet+Advertisements) - 1998
This dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phrases occurring in the URL, the image's URL and alt text, the anchor text, and words occurring near the anchor text. The task is to predict whether an image is an advertisement ("ad") or not ("nonad").
Relevant Papers: N. Kushmerick (1999). "Learning to remove Internet advertisements", 3rd Int Conf Autonomous Agents.
Available at: http://rexa.info/paper/2fdc1cee89b7f4f2c9227d6f5d9b05d22c5ab3e9