基于多模态数据融合与智能体协作的广告投放方法及系统
By employing a multimodal data fusion and intelligent agent collaboration approach to advertising delivery, the problems of long decision-making cycles and unstable results in traditional advertising delivery have been solved. This approach enables a fast, interpretable advertising delivery system with multi-stage collaboration capabilities, thereby improving delivery effectiveness and operational efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU TAIDONG TECH CO LTD
- Filing Date
- 2025-12-22
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional advertising methods rely on human decision-making, resulting in long decision-making cycles, a lack of consistency and comprehensiveness, and an inability to make real-time adjustments. Furthermore, existing machine learning models have failed to effectively integrate unstructured knowledge, leading to unstable advertising results and wasted budgets.
This paper adopts a multimodal data fusion and agent collaboration approach. By parsing the agent to obtain demand information, combining multi-source data for structured reorganization and information fusion, the decision-making reasoning agent generates a deployment and allocation strategy, and the deployment execution agent outputs the final solution, thus constructing a multi-agent collaboration system.
It enables rapid, comprehensive, and explainable advertising decisions, possesses multi-stage collaboration capabilities, improves advertising effectiveness and operational efficiency, and has dynamic adaptability and risk control capabilities.
Smart Images
Figure CN121707649B_ABST