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Learn to Weight Term in Information Retrieval Using Category Information
Published on 2007-02-255763 Views
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Presentation
Learn to Weight Term in Information Retrieval00:02
Outline00:10
Term Weighting Methods based on TF.IDF00:39
Okapi: An Example of TF.IDF Term Weighting01:20
Term Weighting Methods based on Language Models01:29
An Example of Language models for Information01:52
Problems with Existing Term Weighting Methods02:13
Learn Term Weights Using Category Information03:34
A Framework for Learning Term Weights Using04:44
A Regression Approach Toward Learning Term Weights06:28
The Regression Approach: Constraints06:56
The Regression Approach: Final Form07:55
A Probabilistic Approach Toward Learning Term08:20
The Probabilistic Approach: Final Form08:43
The Probabilistic Approach: Optimization Strategy09:04
Experimental Design10:19
Baseline Approache11:13
Baseline Approaches (Cont’d)11:44
Precision Recall Curves12:30
Average Precision12:48
Retrieval Precision for Individual Queries13:48
Summary14:28