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Learn to Weight Term in Information Retrieval Using Category Information
Published on Feb 25, 20075756 Views
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Chapter list
Learn to Weight Term in Information Retrieval00:02
Outline00:10
Outline00:17
Outline00:23
Outline00:29
Term Weighting Methods based on TF.IDF00:39
Term Weighting Methods based on TF.IDF00:45
Term Weighting Methods based on TF.IDF00:52
Term Weighting Methods based on TF.IDF01:10
Okapi: An Example of TF.IDF Term Weighting01:20
Outline01:24
Term Weighting Methods based on Language Models01:29
Term Weighting Methods based on Language Models01:34
Term Weighting Methods based on Language Models01:41
An Example of Language models for Information01:52
An Example of Language models for Information02:01
Outline02:09
Problems with Existing Term Weighting Methods02:13
Problems with Existing Term Weighting Methods02:20
Problems with Existing Term Weighting Methods02:35
Problems with Existing Term Weighting Methods02:48
Outline03:16
Learn Term Weights Using Category Information03:34
Learn Term Weights Using Category Information03:54
Learn Term Weights Using Category Information04:12
Learn Term Weights Using Category Information04:29
A Framework for Learning Term Weights Using04:44
A Framework for Learning Term Weights Using05:11
A Framework for Learning Term Weights Using05:41
Outline06:15
A Regression Approach Toward Learning Term Weights06:28
A Regression Approach Toward Learning Term Weights06:37
The Regression Approach: Constraints06:56
The Regression Approach: Constraints07:01
The Regression Approach: Constraints07:13
The Regression Approach: Constraints07:49
The Regression Approach: Final Form07:55
Outline08:13
A Probabilistic Approach Toward Learning Term08:20
A Probabilistic Approach Toward Learning Term08:35
The Probabilistic Approach: Final Form08:43
The Probabilistic Approach: Optimization Strategy09:04
The Probabilistic Approach: Optimization Strategy09:35
The Probabilistic Approach: Optimization Strategy10:00
The Probabilistic Approach: Optimization Strategy10:09
Outline10:13
Experimental Design10:19
Experimental Design10:26
Experimental Design10:47
Outline11:06
Baseline Approache11:13
Baseline Approaches (Cont’d)11:44
Outline12:11
Precision Recall Curves12:30
Average Precision12:48
Retrieval Precision for Individual Queries13:48
Summary14:28