A method and system for quantifying strategy knowledge point personalized recommendation based on transaction performance attribution
Patent Information
- Application Number
- CN202610805308.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-05
- Publication Date
- 2026-07-17
AI Technical Summary
Existing quantitative trading learning platforms cannot effectively match users' trading results with their knowledge gaps, resulting in a disconnect between teaching and practice and failing to provide personalized and dynamic learning path guidance.
We construct a quantitative strategy knowledge graph and use a Bayesian network, combined with machine learning attribution models and cognitive diagnostic models, to automatically convert users' trading performance and strategy codes into knowledge point mastery deficiency information and dynamically update the learning path.
It enables automatic diagnosis of knowledge gaps based on users' trading performance, providing personalized and dynamic learning paths, thereby improving learning efficiency and practical effectiveness.
Smart Images
Figure CN122412962A_ABST