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Guest editorial: Machine learning for the Internet
Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
Learning to find answers to questions on the Web
Eugene Agichtein, Steve Lawrence, Luis Gravano
We introduce a method for learning to find documents on the Web that contain answers to a given natural language question. In our approach, questions are transformed into new queries aimed at maximizing the probability of retrieving answers from...
Selective Markov models for predicting Web page accesses
Mukund Deshpande, George Karypis
The problem of predicting a user's behavior on a Web site has gained importance due to the rapid growth of the World Wide Web and the need to personalize and influence a user's browsing experience. Markov models and their variations have been found...
PageCluster: Mining conceptual link hierarchies from Web log files for adaptive Web site navigation
Jianhan Zhu, Jun Hong, John G. Hughes
User traversals on hyperlinks between Web pages can reveal semantic relationships between these pages. We use user traversals on hyperlinks as weights to measure semantic relationships between Web pages. On the basis of these weights, we propose a...
LinkSelector: A Web mining approach to hyperlink selection for Web portals
Xiao Fang, Olivia R. Liu Sheng
As the size and complexity of Web sites expands dramatically, it has become increasingly challenging to design Web sites where Web surfers can easily find the information they seek. In this article, we address the design of the portal page of a Web...