LILAC -- Learn from Internet: Log, Annotation, and Content
- Tingshao Zhu
- Russ Greiner, Dept of Computing Science; PI of AICML
- Bin Hu
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.
Citation
T. Zhu, R. Greiner, B. Hu. "LILAC -- Learn from Internet: Log, Annotation, and Content". March 2009.| Keywords: | LILAC, WebIC, Machine Learning, web mining |
| Category: | In Workshop |
BibTeX
@misc{Zhu+al:09,
author = {Tingshao Zhu and Russ Greiner and Bin Hu},
title = {LILAC -- Learn from Internet: Log, Annotation, and Content},
Booktitle = {Experimental Design for Real-World Systems - AAAI Workshop,},
year = 2009,
}Last Updated: January 12, 2012Submitted by Russ Greiner
