Program
The workshop takes place on Monday, September 7th 2009.
Schedule
| 9:00 - 10:30 | Welcome & Introduction |
| Tag Sources for Recommendation in Collaborative Tagging Systems PDF | |
| Factor Models for Tag Recommendation in BibSonomy PDF | |
| 10:30 - 11:00 | Coffee Break (+poster preparation) |
| 11:00 - 12:30 | Content- and Graph-based Tag Recommendation: Two Variations PDF |
| Relational Classification for Personalized Tag Recommendation PDF | |
| A Weighting Scheme for Tag Recommendation in Social Bookmarking Systems PDF | |
| 12:30 - 14:00 | Lunch (on your own) |
| 14:00 - 15:20 | A Collaborative Filtering Tag Recommendation System based on Graph PDF |
| Minute Madness Every presenter has one minute to convince everybody to look at his/her poster. | |
| Closing Session | |
| 15:20 - 15:40 | Coffee Break (+poster preparation) |
| 15:40 - 17:00 | Poster Session |
| 17:20 - 18:00 | Conference Opening & Awards |
Proceedings
The proceedings are published at CEUR-WS.org as Volume 497. The complete PDF is also available here. You can cite a paper of the proceedings using this post as template.
Accepted Papers
- Relational Classification for Personalized Tag Recommendation
- Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation
- Social Tag Prediction Base on Supervised Ranking Model
- Tag Recommendations Based on Tracking Social Bookmarking Systems
- A Fast Effective Multi-Channeled Tag Recommender
- A modified and fast Perceptron learning rule and its use for Tag Recommendations in Social Bookmarking Systems
- Discriminative Clustering for Content-Based Tag Recommendation in Social Bookmarking Systems
- Time based Tag Recommendation using Direct and Extended Users Sets
- A Weighting Scheme for Tag Recommendation in Social Bookmarking Systems
- ARKTiS - A Fast Tag Recommender System Based On Heuristics
- Tag Recommendation using Probabilistic Topic Models
- A Probabilistic Ranking Approach for Tag Recommendation
- Tag Sources for Recommendation in Collaborative Tagging Systems
- Collaborative Tag Recommendation System based on Logistic Regression
- Content- and Graph-based Tag Recommendation: Two Variations
- A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations
- STaR: a Social Tag Recommender System
- Combining Tag Recommendations Based on User History
- Factor Models for Tag Recommendation in BibSonomy
- Content-based and Graph-based Tag Suggestion
- RSDC’09: Tag Recommendation Using Keywords and Association Rules
- Understanding the user: Personomy translation for tag recommendation
- A Tag Recommendation System based on contents
- A Collaborative Filtering Tag Recommendation System based on Graph
