Product recommendation method, apparatus, device, and medium
By conducting gap analysis and insurance simulation on multi-dimensional user data, insurance products that are highly compatible with users are selected, solving the problem of low accuracy in product recommendations in existing technologies and achieving efficient and accurate insurance product matching.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- PING AN HEALTH INSURANCE CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing insurance product recommendation methods lack accurate mining and quantitative analysis of users' risk characteristics and actual protection gaps, resulting in low accuracy of product recommendations and an inability to match users' actual needs and financial capabilities.
By acquiring multi-dimensional basic user data, we use machine learning algorithms to build a gap analysis model, conduct gap analysis, and combine insurance simulation and product matching to select target insurance products that are highly compatible with users.
This improves the accuracy of insurance product recommendations and enhances the user's insurance application experience, ensuring that product selection aligns with the user's risk profile, financial capabilities, and risk preferences.
Smart Images
Figure CN122415233A_ABST