一种数据处理方法及装置
By identifying parameters that external systems depend on as functional parameters, and prioritizing the processing of indicators, tags, and demographic groups in user transaction data, the problem of low computational efficiency in existing technologies is solved, achieving more efficient data processing and normal operation of external systems.
CN115239493BActive Publication Date: 2026-07-17JIANGSU YINCHENG NETWORK TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIANGSU YINCHENG NETWORK TECH CO LTD
- Filing Date
- 2022-07-22
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, the computational efficiency is low during user transaction data analysis due to the dependencies between indicators, tags, and audience groups, which affects the normal operation of external systems.
Method used
By identifying parameters that external systems depend on as functional parameters, functional metrics, tags, and audience packages are processed first, thus improving computational efficiency.
Benefits of technology
It improves the computational efficiency of data processing and ensures the normal operation of external systems.
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Figure CN115239493B_ABST
Abstract
本申请提供了一种数据处理方法及装置，包括：获取用户的历史交易数据；提取被添加了功能性标识的多个功能性参数，多个功能性参数包括多个功能性指标、多个功能性标签以及多个功能性人群包，功能性标识指示参数存在依赖关系；根据历史交易数据，确定每个功能性指标对应的第一指标值、用户所属的至少一个目标功能性标签以及至少一个目标功能性人群包；将每个功能性指标及其对应的第一指标值、用户所属的至少一个目标功能性标签以及至少一个目标功能性人群包推送至与其存在依赖关系的外部系统。本申请通过将外部系统依赖的参数标识为功能性参数进行优先处理，提升计算效率。
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