LILAC — Learn from Internet: Log, Annotation, and Content

Tingshao Zhu, Russ Greiner

This paper summarizes an user study designed to evaluate various models of how users browse the web while working on their day-to-day tasks, in their office or at home. We use these models to predict which pages contain information the user will find useful, and provide empirical data that these learned models are effective.

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