Internet-Advertisements
OpenML dataset with id 40978
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/18140371/Internet-Advertisements.arff
Upload date: 3 December 2017
Dataset Characteristics
Number of classes: 2
Number of features: 1,559 (numeric: 3, symbolic: 1,556 and in total binary: 1,556 )
Number of instances: 3,279
Number of instances with missing values: 0
Number of missing values: 0
Author: Nicholas Kushmerick Source: UCI - 1998 Please cite:
Description
__Changes to version 1:__ all categorical features transformed as such.
This dataset represents a set of possible advertisements on Internet pages.
Sources
(a) Creator and donor:
Nicholas Kushmerick - nick@ucd.ie
Dataset Information
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").
Atributtes Information
There are : 3 continuous attributes. The others are binary. This is the "STANDARD encoding" mentioned in the [Kushmerick, 99] (see below). One or more of the three continuous features are missing in 28% of the instances. Missing values should be interpreted as "unknown".
Relevant Papers
N. Kushmerick (1999). "Learning to remove Internet advertisements", 3rd Int Conf Autonomous Agents.
Available at: http://rexa.info/paper/2fdc1cee89b7f4f2c9227d6f5d9b05d22c5ab3e9
This page was built for dataset: Internet-Advertisements
