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Workshop: The Future of Web Search

Applications of Influence Diagrams to Information Retrieval

author: Juan F. Huete, University of Granada
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Slides
0:01 Applications of Influence Diagrams to Information Retrieval
0:02 Outline
0:59 Structured Information Retrieval
1:06 Structured Information Retrieval
1:18 Structured Information Retrieval
1:33 Structured Information Retrieval
1:36 Structured Information Retrieval
1:55 Structured Information Retrieval
2:01 Structured Information Retrieval
2:12 Structured Information Retrieval
2:23 Structured Information Retrieval
2:32 Bayesian Networks
2:37 Bayesian Networks
2:45 Bayesian Networks
2:54 Bayesian Networks
2:59 Bayesian Networks
3:10 Bayesian Networks
3:28 Bayesian Networks
3:48 Bayesian Networks
3:50 IR models based on Bayesian nets
4:14 IR models based on Bayesian nets
4:32 IR models based on Bayesian nets
4:37 Structured IR models based on BNs
5:12 Structured IR models based on BNs
6:40 Why probabilities are not enough?
7:08 Why probabilities are not enough?
8:24 Why probabilities are not enough?
8:58 Influence diagrams
9:50 Influence diagrams
10:49 Influence diagrams
11:33 Influence diagrams: Examples
12:08 Influence diagrams: Examples
12:51 Influence diagrams: Examples
14:05 Building ID for Structured IR
14:20 Building ID for Structured IR (2)
15:16 Building ID for Structured IR (3)
15:29 Building ID for Structured IR (4)
16:49 Building ID for Structured IR (5)
17:09 ID for Structured IR
17:12 Specifying Probabilities and Utilities
17:15 Solving ID: Inference
17:58 Solving ID: Inference
18:17 Solving ID: Inference
18:21 Reducing the set of valid strategies
18:39 Splitting into local Influence Diagrams
18:49 Splitting into local Influence Diagrams
19:08 Splitting into local Influence Diagrams
19:25 Splitting into local Influence Diagrams
19:27 Splitting into local Influence Diagrams
19:30 Summarizing
20:02 Conclusions

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