Intelligent community model life cycle management system and method based on behavior driving

By collecting and analyzing real-time interaction data and user behavior metrics of the community model, dynamic profiles are constructed. Combined with a standardized lifecycle model, this solves the problem of insufficient dynamic perception in the lifecycle management of the community model, and achieves precise adaptation of operational strategies and optimization throughout the entire lifecycle.

CN122089249APending Publication Date: 2026-05-26CHONGQING KAIYUAN GONGCHUANG TECH CO LTD
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Patent Information

Application Number
CN202610207916.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-12
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

The existing community model lifecycle management lacks the ability to perceive the dynamic behavior of the model in real time, resulting in delayed metadata registration, untimely behavior analysis, inaccurate state transitions, and insufficient targeting of operational strategies.

Method used

The behavior-driven community model lifecycle intelligent management system collects model interaction data and user behavior metrics in real time, builds dynamic behavior profiles, constructs state transition logic based on standardized lifecycle models, analyzes the current flow state of the model, and performs operational strategy analysis and resource allocation based on metadata.

Benefits of technology

It enables dynamic perception of changes in model behavior, improves the accuracy of operational strategy adaptation, and optimizes the entire lifecycle management of the model.

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Abstract

The invention discloses a community model life cycle intelligent management system and method based on behavior driving, and relates to the related field of model management, and the method comprises the steps: registering and storing model metadata of a community model; deploying a lightweight monitoring agent to collect model interaction use data and user behavior index data in real time, and constructing a community model behavior dynamic portrait; according to the standardized life cycle model, constructing a community model state conversion logic, performing circulation state analysis on the dynamic behavior portrait of the community model, and determining a current circulation state of the model; operation strategy analysis is carried out based on the model metadata and the current circulation state of the model, community model operation strategy resources are configured, and model full-life-cycle management is carried out. The technical problems of lack of model behavior dynamic perception and inaccurate operation strategy adaptation in existing community model life cycle management are solved, and the technical effects of dynamically perceiving model behavior changes and improving the operation strategy adaptation accuracy are achieved.
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