Separating the swarm: categorization methods for user sessions on the web

@article{Heer2002SeparatingTS,
  title={Separating the swarm: categorization methods for user sessions on the web},
  author={J. Heer and Ed H. Chi},
  journal={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2002}
}
  • J. Heer, Ed H. Chi
  • Published 2002
  • Computer Science
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding user behaviors on Web sites enables site owners to make sites more usable, ultimately helping users to achieve their goals more quickly. Accordingly, researchers have devised methods for categorizing user sessions in hopes of revealing user interests. These techniques build user profiles by combining users' navigation paths with other data features, such as page viewing time, hyperlink structure, and page content. Previously, we have presented complex techniques of combining many… Expand
An Unsupervised Method for Web User Interest Analysis
Mining the Structure of User Activity using Cluster Stability
Transient User Profiling
Clustering Web Sessions Using Extended General Pages
A User-Centered Approach to Evaluating Topic Models
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References

Distributions of surfers' paths through the World Wide Web: Empirical characterizations