Intelligent optimization method and device for game activity template, computer device and readable storage medium

CN122097979APending Publication Date: 2026-05-29SHANGHAI CHANGZHI NETWORK TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI CHANGZHI NETWORK TECHNOLOGY CO LTD
Filing Date
2026-04-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In current game activity development, activity logic, rules, and data are tightly coupled, resulting in poor system scalability, low update efficiency, lack of real-time data collection and analysis, and difficulty in achieving accurate and automated configuration of activity resources.

Method used

The game activity structure is modularly encapsulated into activity rules, participation conditions, reward mechanisms, and activity time configuration units. An activity template library is built, user behavior data is collected in real time, and activity parameters are analyzed and adjusted through server-side analysis.

Benefits of technology

It enables intelligent game activity templates and data-driven continuous optimization, improving system scalability and update efficiency, and ensuring accurate configuration of activity parameters.

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Abstract

The application discloses an intelligent optimization method and device of a game activity template, computer equipment and a readable storage medium, comprising: firstly, modularly encapsulating an activity rule, a participation condition, a reward mechanism and an activity time configuration unit, and constructing a reusable activity template library. When responding to a creation request, a target template is called and an activity instance is generated through parameterized configuration and deployed to a user end for running. Data acquisition and burying points are arranged at key nodes of an activity interaction logic, user behavior data is collected in real time and uploaded to a server. The server processes and extracts features of the data, and then automatically dynamically adjusts and optimizes parameter configuration of the activity template based on user behavior features obtained through analysis, generates an optimized activity configuration scheme, so that intelligent and data-driven continuous optimization of the game activity template is realized.
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