Enhancing Search and Browse Using Automated Clustering of Subject Metadata

1. Introduction

2. Clustering Algorithm

3. Developing Labels and Mapping to Classification

4. Integrating Classified Metadata

5. Designing and Building Prototype

6. Lessons Learned: Topic Model

7. Lessons Learned: Accuracy of Labeling

8. Lessons Learned: Classification

9. Lessons Learned: Community Labeling

10. Lessons Learned: Interface

11. Lessons Learned: End-User Testing

12. Conclusion