融合用户行为的广告点击率提升方法

By analyzing user behavior sequences and dynamically allocating resources, the problems of insufficient feature dimensions and unreasonable resource allocation in traditional ad click-through rate optimization are solved, thereby improving ad click-through rate and user matching.

CN121094883BActive Publication Date: 2026-07-17ZHEJIANG HONGRUI NETWORK TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG HONGRUI NETWORK TECHNOLOGY CO LTD
Filing Date
2025-09-02
Publication Date
2026-07-17

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Abstract

本发明涉及广告推荐优化技术领域，公开了融合用户行为的广告点击率提升方法。该方法先获取目标用户在广告交互平台的历史行为序列，从中提取身份属性特征与行为偏好特征；基于两类特征，将当前广告会话的交互触点划分为核心交互区域与辅助交互区域；确定核心区域的广告内容主导特征、辅助区域的广告内容辅助特征，结合广告投放环境参数生成待处理广告特征集合；计算集合内任意两特征节点的交互关联度，以特征节点为顶点、关联度为边构建广告特征关系图；确定图的最小连通子图，据此明确特征处理顺序；按该顺序对各特征节点进行动态资源分配。本方法可改善广告内容与用户需求匹配度，提升特征处理精准性与资源利用率，助力广告点击率提升。
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