Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
DATA FEATURE COMBINATION PRICING METHOD AND SYSTEM BASED ON SHAPLEY VALUE AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/082969
Kind Code:
A1
Abstract:
The present invention relates to machine learning, and in particular to a data feature combination pricing method and system based on a Shapley value and an electronic device. The method comprises: collecting feature variables of a feature data set provided by a seller, and preprocessing the feature variables; constructing a learning model based on machine learning, and selecting an optimal feature classification variable from feature classification variables; estimating feature Shapley values constructed on the basis of ghost data instances so as to calculate marginal contribution and an average Shapley value of selected feature variables; and according to the marginal contribution and the average Shapley value of the feature variables, determining whether the feature variables can be subjected to transaction, and if yes, performing the transaction. In the embodiments of the present invention, long-term benefit maximization of a data provider can be realized, risk assessment of the data seller on the data buyer company is met, and the risk loss is reduced.

Inventors:
YU HAIYAN (CN)
LIU KE (CN)
MIAO HONGXIA (CN)
Application Number:
PCT/CN2022/126712
Publication Date:
May 19, 2023
Filing Date:
October 21, 2022
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
UNIV CHONGQING POSTS & TELECOM (CN)
International Classes:
G06Q30/02; G06N20/00; G06Q30/08; G06Q40/02; G06Q40/04
Foreign References:
CN113919886A2022-01-11
CN111325353A2020-06-23
CN111028080A2020-04-17
CN113159835A2021-07-23
CN113435938A2021-09-24
US7512558B12009-03-31
Attorney, Agent or Firm:
TIDYTEND INTELLECTUAL PROPERTY LAW FIRM (CN)
Download PDF: