一种基于AI的游戏礼包问题智能排查方法、系统及设备

By using AI-based methods to intelligently investigate issues related to game gift packs, and leveraging technologies such as large language models and knowledge graphs, the inefficiency and inaccuracy of existing technologies have been resolved. This has enabled automated root cause localization and closed-loop processing, thereby improving game operation efficiency and user experience.

CN122415159APending Publication Date: 2026-07-17安徽三七极光网络科技有限公司
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安徽三七极光网络科技有限公司
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are inefficient in handling game gift pack issues, struggle to accurately identify user feedback and intent, fail to complete contextual information, and lack deep integration between system processes and logs, resulting in long problem-solving cycles, high costs, and poor accuracy.

Method used

The system employs an AI-based approach to standardize user multimodal feedback information, utilizes a large language model to identify intent and complete context, combines a game rights knowledge graph and an LSTM model to detect abnormal behavior, and generates an interpretable root cause analysis report through a causal inference model, thereby achieving fully automated root cause localization and closed-loop processing.

Benefits of technology

It has achieved fully automated root cause localization of gift pack distribution issues, improved problem-solving efficiency, reduced operating costs, optimized user experience, and provided refined and intelligent game operation support.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122415159A_ABST
    Figure CN122415159A_ABST
Patent Text Reader

Abstract

本发明公开了一种基于AI的游戏礼包问题智能排查方法、系统及设备,所述方法具体包括:对用户提交的多模态反馈信息进行标准化处理,提取结构化数据;对结构化数据进行意图识别与问题摘要,形成待排查问题目标;基于待排查问题目标,查询游戏权益知识图谱,并利用图神经网络进行检索与推理,验证用户是否符合相关权益发放规则;利用LSTM模型对操作日志序列进行建模,识别是否存在异常行为模式;融合推理结果与异常识别结果,通过因果推断模型生成可解释根因分析报告。本发明实现了礼包发放问题的全流程自动化根因定位与闭环处理,准确识别用户反馈问题和意图并补全上下文信息,与现有系统流程、日志深度打通以还原用户礼包路径并精准识别问题。
Need to check novelty before this filing date? Find Prior Art