Iterative Algorithms for Collaborative Filtering with Mixture Models
author:
Libertad Tansini,
Göteborg University
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| Slides | |
| 0:00 | Iterative Algorithms for Collaborative Filtering with Mixture Models |
| 0:34 | Outline |
| 0:46 | Outline: Introduction pt 1 |
| 0:48 | Motivation |
| 1:37 | Outline: Introduction pt 2 |
| 1:40 | Mixture Model I |
| 3:08 | Mixture Model II |
| 3:19 | Mixture Model III |
| 3:48 | Mixture Model VI |
| 4:12 | Input Output |
| 4:42 | Objective |
| 5:20 | Methods |
| 6:38 | First Method |
| 7:05 | Second Method pt 1 |
| 7:51 | Second Method pt 2 |
| 8:14 | Too Simple |
| 8:41 | Third Method |
| 8:50 | Fourth Method |
| 9:24 | Outline: Results pt 1 |
| 9:25 | Tests |
| 11:15 | Outline: Results pt 2 |
| 11:19 | Generated Test Data |
| 12:35 | Disjoint Model |
| 13:58 | Partially Mixed Model |
| 14:26 | Fully Mixed Model |
| 15:05 | Outline: Results pt 3 |
| 15:07 | Real Data |
| 16:10 | Conclusions |
| 16:53 | Future Work |
| 18:38 | Questions? |
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