Title:
RESOURCE EXAMINATION AND APPROVAL METHOD AND DEVICE, AND RANDOM FOREST MODEL TRAINING METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2024/021555
Kind Code:
A1
Abstract:
The present disclosure relates to the technical field of cloud computing, and relates to a resource examination and approval method and device, and a random forest model training method and device. The resource examination and approval method comprises: acquiring a resource usage request of a user; determining a plurality of features of the resource usage request of the user; for each decision tree in a random forest model, selecting, from the plurality of features, a feature corresponding to the decision tree; predicting an examination and approval result according to the value of the feature corresponding to each decision tree, wherein the examination and approval result represents whether a resource requested by the user is issued; and in view of the examination and approval results of the decision trees, determining whether to issue the resource requested by the user.
Inventors:
CHANG SANQIANG (CN)
HU CHENGQIAN (CN)
ZHANG QI (CN)
HAN DONG (CN)
HU CHENGQIAN (CN)
ZHANG QI (CN)
HAN DONG (CN)
Application Number:
PCT/CN2023/074133
Publication Date:
February 01, 2024
Filing Date:
February 01, 2023
Export Citation:
Assignee:
JINGDONG TECH INFORMATION TECH CO LTD (CN)
International Classes:
G06Q10/10
Domestic Patent References:
| WO2021077011A1 | 2021-04-22 |
Foreign References:
| CN115147092A | 2022-10-04 | |||
| CN110264342A | 2019-09-20 | |||
| CN113505936A | 2021-10-15 | |||
| CN111709828A | 2020-09-25 |
Attorney, Agent or Firm:
CCPIT PATENT AND TRADEMARK LAW OFFICE (CN)
Download PDF: