International Conference on Machine Learning - Bonn 2005

Learn to Weight Term in Information Retrieval Using Category Information

author: Rong Jin, Department of Computer Science and Engineering, Michigan State University

Categories

Top: Computer Science: Information Retrieval

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*Slides*
0:02	Learn to Weight Term in Information Retrieval
0:10	Outline
0:17	Outline
0:23	Outline
0:29	Outline
0:39	Term Weighting Methods based on TF.IDF
0:45	Term Weighting Methods based on TF.IDF
0:52	Term Weighting Methods based on TF.IDF
1:10	Term Weighting Methods based on TF.IDF
1:20	Okapi: An Example of TF.IDF Term Weighting
1:24	Outline
1:29	Term Weighting Methods based on Language Models
1:34	Term Weighting Methods based on Language Models
1:41	Term Weighting Methods based on Language Models
1:52	An Example of Language models for Information
2:01	An Example of Language models for Information
2:09	Outline
2:13	Problems with Existing Term Weighting Methods
2:20	Problems with Existing Term Weighting Methods
2:35	Problems with Existing Term Weighting Methods
2:48	Problems with Existing Term Weighting Methods
3:16	Outline
3:34	Learn Term Weights Using Category Information
3:54	Learn Term Weights Using Category Information
4:12	Learn Term Weights Using Category Information
4:29	Learn Term Weights Using Category Information
4:44	A Framework for Learning Term Weights Using
5:11	A Framework for Learning Term Weights Using
5:41	A Framework for Learning Term Weights Using
6:15	Outline
6:28	A Regression Approach Toward Learning Term Weights
6:37	A Regression Approach Toward Learning Term Weights
6:56	The Regression Approach: Constraints
7:01	The Regression Approach: Constraints
7:13	The Regression Approach: Constraints
7:49	The Regression Approach: Constraints
7:55	The Regression Approach: Final Form
8:13	Outline
8:20	A Probabilistic Approach Toward Learning Term
8:35	A Probabilistic Approach Toward Learning Term
8:43	The Probabilistic Approach: Final Form
9:04	The Probabilistic Approach: Optimization Strategy
9:35	The Probabilistic Approach: Optimization Strategy
10:00	The Probabilistic Approach: Optimization Strategy
10:09	The Probabilistic Approach: Optimization Strategy
10:13	Outline
10:19	Experimental Design
10:26	Experimental Design
10:47	Experimental Design
11:06	Outline
11:13	Baseline Approache
11:44	Baseline Approaches (Cont’d)
12:11	Outline
12:30	Precision Recall Curves
12:48	Average Precision
13:48	Retrieval Precision for Individual Queries
14:28	Summary

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