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Patent Searching and Data


Title:
METHOD FOR TRAINING TEACHING STYLE PREDICTION MODEL, AND COMPUTER STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/216286
Kind Code:
A1
Abstract:
Provided are a method for training a teaching style prediction model, and a computer storage medium. The method comprises: determining, on the basis of high-dimensional feature data of a teaching content sample, multiple groups of low-dimensional feature data of the teaching content sample; by means of a teaching style prediction model to be trained, acquiring, on the basis of the multiple groups of low-dimensional feature data, teaching style prediction data corresponding to the teaching content sample; and on the basis of teaching style labeling data of the teaching content sample and the teaching style prediction data, training the teaching style prediction model. In the embodiments of the present invention, high-dimensional feature data of a teaching content sample is grouped into multiple groups of low-dimensional feature data, thereby greatly reducing the dimensionality of input features of a teaching style prediction module to be trained, so that the teaching style prediction performance of the trained teaching style prediction module can be effectively improved.

Inventors:
YANG SONG (CN)
HUANG JIAN (CN)
YANG FEI (CN)
LIU ZITAO (CN)
HUANG YAN (CN)
Application Number:
PCT/CN2020/086363
Publication Date:
October 29, 2020
Filing Date:
April 23, 2020
Export Citation:
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Assignee:
BEIJING XINTANG SICHUANG EDUCATION TECH CO LTD (CN)
International Classes:
G06N3/08; G06Q50/20
Foreign References:
CN107045673A2017-08-15
CN108090857A2018-05-29
CN108073888A2018-05-25
CN106250403A2016-12-21
CN107992887A2018-05-04
US7684390B22010-03-23
Attorney, Agent or Firm:
CHANG TSI & PARTNERS (CN)
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