GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Personalization on the Net using Web mining: introduction
Communications of the ACM
On the Depth and Dynamics of Online Search Behavior
Management Science
Goal-directed complete-web recommendation
Goal-directed complete-web recommendation
Web science: an interdisciplinary approach to understanding the web
Communications of the ACM - Web science
Goal-directed site-independent recommendations from passive observations
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning a model of a web user's interests
UM'03 Proceedings of the 9th international conference on User modeling
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It is critical to acquire web users behavior model in E-commerce community. In this paper, we propose to train the web user's browsing behavior, and clustering web users based on their browsing behavior. In particular, our method uses page-content information extracted from the user's click stream, then trains a behavior model that describes how web user locates useful information in the Internet. The classifier is trained on the data which describes how the user treats the information that she has visited, that is, browsing behavior. We find that some user groups based on the browsing behavior can get much higher accuracy for prediction.