Visualizing clickstream data with multidimensional scaling
2005-12-07
Research Paper
This publication is part of collection
| Related Files |
|---|
View PDF Version
(ei2005-51.pdf, 0.1MB) |
We visualize a a web server log by means of multidimensional scaling. To that end, a so-called dissimilarity metric is introduced in the sets of sessions and pages respectively. We interpret the resulting visualizations and find some interesting patterns.
Automatically Extracted Terms
- session
- product
- embedding
- cluster
- group
- request
- page request
- distance
- object
- graph
- product categories
- category
- dissimilarity
- buyer
- video
- number
- non-metric mds
- subset
- figure
- concern
