An ai pet level management method and system based on user behavior habits and state compensation
By collecting and encrypting user behavior data, a heterogeneous isolated points ledger is constructed and combined with an adaptive weighting algorithm and a dynamic level growth model. This solves the problems of rigid points calculation and privacy and security in existing AI pet level management, and achieves accurate user behavior guidance and secure level management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing AI pet level management methods suffer from several drawbacks: the points calculation lacks adaptive adjustment capabilities, the level growth model is static and rigid, the entire behavior-points-level chain is missing, they cannot accurately match the differences in individual user behavior habits, and privacy protection and economic security measures are inadequate.
By collecting user time-series behavior data, de-identifying and encrypting it on the client side, a heterogeneous and isolated ledger of task points and recharge points is constructed. Combined with an adaptive weighted algorithm for behavior scores and a dynamic growth model of correlation levels, accurate calculation of task points and adaptive adjustment of AI pet levels are achieved.
It achieves deep integration between user behavior habits and AI pet levels, improving the security and accuracy of points management and ensuring the protection of children's privacy and financial security.
Smart Images
Figure CN122399352A_ABST