Using Distinctive Information Channels for a Mission-based Web Recommender System
- Jia Li
- Osmar R. Zaiane, University of Alberta (Database)
Web recommender systems anticipate the information needs of on-line users and provide them with recommendations to facilitate and personalize their navigation. There are many approaches to build such systems. Among them, using web access logs to generate users’ navigational models to build a web recommender system is a popular approach, given its non-intrusiveness. However, using only one information channel, namely the web access history, is often insufficient for accurate recommendation prediction. We advocate the use of additional information channels available to better model user navigational behavior. In this paper, we investigate a novel hybrid web recommender system, which combines the access history, the content of visited pages, as well as the connectivity between web resources in a web site to model users’ concurrent information needs and then generate users’ navigational patterns. Our experiments show that the combination of the three channels in our system significantly improves the quality of the web site recommendation, and each additional channel used contributes to this improvement. In addition, we discuss cases on how to reach a compromise when not all channels are available.
Citation
J. Li, O. Zaiane. "Using Distinctive Information Channels for a Mission-based Web Recommender System". Workshop on Webmining and Web Analysis (WebKDD), pp 35-46, August 2004.| Keywords: | Web Recommender System, Web Usage Mining, Web Content Mining, Web Structure Mining, Navigational Pattern |
| Category: | In Workshop |
BibTeX
@misc{Li+Zaiane:WebKDD04,
author = {Jia Li and Osmar R. Zaiane},
title = {Using Distinctive Information Channels for a Mission-based Web
Recommender System},
Pages = {35-46},
booktitle = {Workshop on Webmining and Web Analysis (WebKDD)},
year = 2004,
}Last Updated: February 04, 2020Submitted by Sabina P
