Abstract
In this paper, we describe a system called TagAssist that provides tag suggestions for new blog posts by utilizing existing tagged posts. The system is able to increase the quality of suggested tags by performing lossless compression over existing tag data. In addition, the system employs a set of metrics to evaluate the quality of a potential tag suggestion. Coupled with the ability for users to manually add tags, TagAssist can ease the burden of tagging and increase the utility of retrieval and browsing systems built on top of tagging data.
| Original language | English (US) |
|---|---|
| State | Published - 2007 |
| Event | 2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States Duration: Mar 26 2007 → Mar 28 2007 |
Other
| Other | 2007 International Conference on Weblogs and Social Media, ICWSM 2007 |
|---|---|
| Country/Territory | United States |
| City | Boulder, CO |
| Period | 3/26/07 → 3/28/07 |
Keywords
- Blogs
- Case Base Reasoning
- Tag Suggestions
- Tags
- Text Classification
ASJC Scopus subject areas
- Computer Networks and Communications