A multi-source data alignment method, device, equipment and medium

By coordinating the data source agent with the alignment agent to perform encrypted identification processing, the difficulty and privacy issues of multi-source data alignment are solved, achieving accuracy and privacy protection for cross-platform data alignment, and adapting to dynamic changes in data sources and real-time alignment requirements.

CN122412975APending Publication Date: 2026-07-17SHENZHEN COOCAA NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN COOCAA NETWORK TECH CO LTD
Filing Date
2026-03-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies face challenges in aligning multi-source data, suffer from poor privacy, and lack system flexibility, making them unable to adapt to dynamic changes in data sources and the need for real-time alignment.

Method used

By introducing an alignment agent, multiple data source agents are coordinated to process encrypted identifiers. User identifiers are encrypted using the same encryption rules, and common encrypted identifiers are identified as alignment results. Combined with metadata matching and preset alignment strategies, refined filtering instructions are generated to achieve anonymous comparison across platforms.

Benefits of technology

It achieves accuracy and privacy protection in cross-platform data alignment, adapts to changes in data sources and the need for real-time alignment, and improves system efficiency and flexibility.

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Abstract

本发明涉及数据处理领域,公开了一种多源数据对齐方法、装置、设备及介质,包括:通过对齐智能体接收来自于应用端的数据对齐需求,并根据数据对齐需求查询适配的数据源智能体,确定与数据对齐需求匹配的目标数据源智能体;通过对齐智能体,指示各目标数据源智能体在各自的本地数据源中筛选匹配数据对齐需求的数据所关联的用户对象的用户标识;通过对齐智能体指示各目标数据源智能体采用相同加密规则对用户标识进行加密并返回加密得到的加密标识;通过对齐智能体识别来源不同目标数据源智能体的加密标识中的共有加密标识,并将共有加密标识作为数据对齐需求的数据对齐结果,输出至应用端。解决了现有技术中对齐难度大且隐私性差的问题。
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