Center for Machine Learning and Intelligent Systems
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Data Set Information:
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.
Each subject is in a separate 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:
Pazzani M., Billsus, D. (1997). Learning and Revising User Profiles: The identification of interesting web sites. Machine Learning 27, 313-331
Papers That Cite This Data Set1:
Stephen D. Bay and Dennis F. Kibler and Michael J. Pazzani and Padhraic Smyth. The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. SIGKDD Explorations, 2. 2000. [View Context].
Please refer to the Machine Learning Repository's citation policy
 Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info
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