一种内容推荐方法、内容特征提取方法及装置
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUAWEI TECH CO LTD
- Filing Date
- 2025-01-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing recommendation systems struggle to maintain performance when handling large-scale data and have limitations in handling complex feature interactions, thus affecting recommendation effectiveness.
By independently processing the semantic, location, and temporal information of the historical behavior sequences of users and content in the neural network model, and utilizing adaptive multi-channel self-attention layers and multi-stage divide-and-conquer feedforward layers, interaction relationships of different dimensions are modeled respectively, thereby improving the accuracy and efficiency of the recommendation system.
It enables finer-grained modeling of interaction relationships across different dimensions, improving the accuracy and efficiency of the recommendation system and providing more precise and personalized recommendation services.
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