Syskill and Webert Web Page Ratings

Abstract

This database contains the HTML source of web pages plus the ratings of a single user on these web pages. The web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)

Data Type

html web pages with user ratings

Sources

Original Owner and Donor

Michael Pazzani
Department of Information and Computer Science,
University of California, Irvine
Irvine, CA 92697-3425 
pazzani@ics.uci.edu
Date Donated: October 20, 1998

Data Characteristics

The HTML source of a web page is given. Users looked at each web page and inidated on a 3 point scale (hot medium cold) 50-100 pages per domain. However, this is realistic because we want to learn user profiles from as few examples as possible so that users have an incentitive to rate pages.

Data Format

Each subject is in a seperate directory. Within each directory, there is an file named "index". The index contains information on the other files. Each entry is a line of the form:

 file-name  |  rating  |  url  |  date-rated  |  title 

where file-name is the name of a file (usually an integer), rating is hot, medium, or cold. There are so few medium's that mediums are usually merged with cold in experiments.

The other fields aren't used in learning, but they are collected by the interface for other purposes. They are the url of the html source, the date rated and the title of the web oage.

Past Usage

Pazzani M., Billsus, D. (1997). Learning and Revising User Profiles: The identification of interesting web sites. Machine Learning 27, 313-331

Pazzani, M., Muramatsu J., Billsus, D. (1996). Syskill & Webert: Identifying interesting web sites. Proceedings of the National Conference on Artificial Intelligence, Portland, OR. PDF


The UCI KDD Archive
Information and Computer Science
University of California, Irvine
Irvine, CA 92697-3425
Last modified: July 12, 1999