An advertisement targeting pushing method and system based on multi-source data fusion
By aligning multi-dimensional data and deeply mining non-linear association paths, a multi-level push system is constructed, which solves the accuracy problem of targeted advertising in existing technologies and achieves accurate matching of potential advertising relationships and real-time optimization of user interests.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing advertising targeting technologies lack multi-dimensional data alignment and cross-domain feature interaction, resulting in flat user profiles and low accuracy in potential advertising relationships.
By detecting based on the advertising database, the labeled data space is aligned in multiple dimensions. A primary multi-source data is constructed by combining abnormal clicks and noise data. Non-linear correlation paths are deeply mined to build a multi-level push system. The advertising push sequence is determined by combining advertising click-through rate and user experience parameters to control advertising data drift and user interest decay information.
It integrates multiple consumer data and primary multi-source data, improving the accuracy of potential advertising relationships and the precision of targeted advertising events, ensuring real-time optimization of advertising data and matching of user interests.
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