Exploiting Hyperlinks to Learn a Retrieval Model
author:
Samy Bengio,
Google
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| Slides | |
| 0:00 | Exploiting Hyperlinks to Learn a Retrieval Model |
| 0:28 | Outline |
| 1:17 | What is Information Retrieval |
| 1:54 | How to Achieve such a Goal |
| 4:01 | How to Achieve such a Goal1 |
| 4:10 | How to Select a Document/Query Similarity Measure |
| 4:37 | Ad-hoc Approaches |
| 4:59 | Ad-hoc Approaches1 |
| 5:13 | Ad-hoc Approaches2 |
| 5:29 | Ad-hoc Approaches3 |
| 6:00 | Ad-hoc Approaches4 |
| 6:14 | Ad-hoc Approaches5 |
| 6:41 | Unsupervised Learning Approaches |
| 7:38 | Unsupervised Learning Approaches1 |
| 8:11 | Supervised Learning Approaches |
| 9:07 | Supervised Learning Approaches1 |
| 9:39 | LinkLearn |
| 10:43 | Hyperlinks as Training Data |
| 11:50 | Training Criterion |
| 13:22 | Training Criterion1 |
| 14:07 | Model Parameterization |
| 15:31 | Model Parameterization1 |
| 16:14 | Experimental Setup |
| 17:51 | Experimental Setup1 |
| 19:18 | Model Training |
| 20:52 | Results |
| 22:09 | Conclusions |
| 22:53 | That’s all folks |
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