Mixture Models and Collaborative Filtering Algorithms
author:
Devdatt Dubhashi,
Chalmers University
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| Slides | |
| 0:00 | The Wisdom of Crowds |
| 0:40 | The Wisdom of Crowds |
| 1:17 | Francis Galton visits a Country Fair (1906) |
| 2:04 | Wisdom of Crowds on the Web |
| 2:38 | Wisdom of Crowds on the Web: Google |
| 3:12 | Mining the Internet |
| 4:10 | People and Music |
| 5:28 | Collaborative filtering |
| 5:54 | Mixture model |
| 7:27 | Biclustering Genes |
| 8:11 | Bi-clustering algorithms |
| 8:49 | Collaborative Filtering in Mixture Models |
| 9:49 | A Porfolio of Iterative Biclustering Algorithms |
| 11:29 | Tests on generated data |
| 12:11 | Results for the disjoint model |
| 12:54 | Results for the intermediate model |
| 13:06 | Results for the completely mixed model |
| 13:32 | Tests on real data |
| 13:57 | More Applications: Query Recommendations |
| 15:06 | Applications: Physical and Logical Sessions |
| 15:33 | Wisdom of Crowds for Next Generation Exploratory Search |
| 16:16 | We’ ve come a Long Way |
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