1. WWW2011-Unified Analysis of Streaming News Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric Xing, Carnegie Mellon University, Alexander J. Smola, Choon Hui Teo Yahoo! Research

2. Motivation Clustering News into Stories. – Based on Entity, time, etc.. – Cant identify high-level topics Topic Modeling – LDA, etc – Cant cluster stories well. Propose: Cluster + Topic

3. Cluster Model: Recurrent Chinese Restaurant Process

4. Topic Model: LDA

5. Storyline Model

6. Inference: Particle Filtering

7. Sampling Topics

8. Sampling Stories

9. Sampling Stories – cont. too expensive: instead, sample s* from with acceptance rate Update particle weight

10. Experiments Baseline: single-link clustering.

11. Application: Structured Browsing