Predicting Where a Web User Wants to Go
- Gerald Haeubl, School of Business; University of Alberta
- Tingshao Zhu
- Russ Greiner, Dept of Computing Science; PI of AICML
In this paper, we introduce our on-going research that uses the content of the user's observed clickstream to predict which web pages she wants to visit. Our method first identifies which words will be in these 'information content' pages, and then uses these words to construct search queries to retrieve the relevant webpages. We present empirical evidence that this approach can work effectively.
Citation
G. Haeubl, T. Zhu, R. Greiner. "Predicting Where a Web User Wants to Go". Best Practices and Future Visions for Search User Interfaces, Fort Lauterdale, August 2003.| Keywords: | predicting, web user, WebIC, machine learning |
| Category: | In Workshop |
BibTeX
@misc{Haeubl+al:CHI2003Workshop03,
author = {Gerald Haeubl and Tingshao Zhu and Russ Greiner},
title = {Predicting Where a Web User Wants to Go},
booktitle = {Best Practices and Future Visions for Search User Interfaces},
year = 2003,
}Last Updated: April 24, 2007Submitted by Christian Smith
