Title:
USER ABILITY-BASED PERSONALIZED COGNITIVE TRAINING TASK RECOMMENDATION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/001301
Kind Code:
A1
Abstract:
Disclosed in the present invention are a user ability-based personalized cognitive training task recommendation method and system. The method comprises the following steps: establishing a machine initial test-based recommended training task list; establishing a manual evaluation-based recommended training task list; and merging and sorting to establish an optimal recommended training task list. According to the present invention, personalized cognitive training task recommendation can be performed on the basis of the user's ability, and mutual complementation of treatment schemes is achieved by combining a machine algorithm and manual evaluation, thereby balancing machine and human problems, and reducing decision-making errors.
Inventors:
WANG XIAOYI (CN)
BIAN ZHIMING (CN)
CHU ZHENG (CN)
BIAN ZHIMING (CN)
CHU ZHENG (CN)
Application Number:
PCT/CN2022/107482
Publication Date:
January 26, 2023
Filing Date:
July 22, 2022
Export Citation:
Assignee:
BEIJING WISPIRIT TECH CO LTD (CN)
International Classes:
G16H50/30
Foreign References:
| CN113284623A | 2021-08-20 | |||
| CN112599241A | 2021-04-02 | |||
| CN112017788A | 2020-12-01 | |||
| JP2021047504A | 2021-03-25 | |||
| US20200402663A1 | 2020-12-24 |
Attorney, Agent or Firm:
BELJING GENIUS ESSEN INTELLECTUAL PROPERTY OFFICE (CN)
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