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First ACM International Conference on Web Search and Data Mining - WSDM 2008

Deep Classifier: Automatically Categorizing Search Results into Large-scale Hierarchies

author: Qiang Yang, Hong Kong University of Science and Technology

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*Slides*
0:00	Deep Classifier: Automatically Categorizing Search Results into Large-Scale Hierarchies
0:24	Search Result Presentation
1:52	Motivation - 1
2:44	Motivation - 2
3:28	Query = "Saturn"
5:58	Deep Classifier: Detailed Steps
7:34	Research Question 1: How to Build a Classifier Online?
8:18	Question: How to Build a Classifier in Real Time?
8:24	Flat Strategy for Training a Classifier
9:29	Hierarchical Strategy
10:17	Ancestor-Assistant Strategy - 1
11:45	Ancestor-Assistant Strategy - 2
12:10	Deep Classifier: Choice of Classifier
12:48	Next Research Question: How to Choose a Classifier
13:01	Online Classification: Choices
14:32	Making NBC Fast and Accurate
14:50	Time Complexity
15:21	Experiments
16:22	Experimental Hypotheses
17:40	Evaluation Data
17:41	Different Training Data Selection Strategies
17:42	Different Classifiers
17:43	Results on Queries
17:44	- Questions

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