An intelligent full-link user touch decision engine
By integrating heterogeneous data across the entire domain, deeply perceiving user behavior across the entire chain, and optimizing multi-objective collaborative decision-making algorithms, the problem of data silos caused by the heterogeneity of user behavior data has been solved. This has enabled consistency and dynamic trade-offs in cross-platform behavior understanding, improved the accuracy and response speed of outreach decisions, reduced operating costs, and increased conversion rates.
CN122434565APending Publication Date: 2026-07-21ZHENGZHOU SHIKONG SUIDAO INFORMATION TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHENGZHOU SHIKONG SUIDAO INFORMATION TECH CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-07-21
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Figure CN122434565A_ABST
Abstract
The application relates to the field of internet information technology, and particularly discloses an intelligent full-link user touch decision engine, aiming to solve problems such as information fusion difficulty and multi-target conflict caused by data heterogeneity. The engine comprises a global heterogeneous data integration and standardization processing system, a full-link user behavior deep perception system, a multi-target collaborative decision algorithm optimization system, a dynamic triggering and multi-channel distribution execution system, and a real-time closed-loop feedback and incremental learning system. An equilibrium point between conversion rate and user fatigue is found through a game theory optimization algorithm, and automatic iteration and self-evolution of the strategy are realized in combination with reinforcement learning. The application eliminates data islands, realizes consistency of cross-platform touch and optimal allocation of resources, and significantly improves the accuracy, response speed and system stability of touch decision.
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