Collaborative Memory Network for Recommendation Systems解讀
Collaborative Memory Network for Recommendation Systems解讀 本文爲對該論文的簡單解讀和記錄，方便理解 摘要 本文提出協同記憶網絡這一深層結構：它是一種將基於潛在因素模型的全局結構和基於鄰域的局部結構，用非線性方法進行統一實現的深度結構模型。在Memory Networks的成功推動下，我們將記憶組件和神經注意機制融合爲鄰域組件，記憶模塊中
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相關文章
- 1. Collaborative Memory Network for Recommendation Systems
- 2. 【RS】Collaborative Memory Network for Recommendation Systems - 基於協同記憶網絡的推薦系統
- 3. Collaborative Deep Learning for Recommender Systems
- 4. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 5. Controllable Multi-Interest Framework for Recommendation
- 6. CABaRet: Leveraging Recommendation Systems for Mobile Edge Caching
- 7. Deep Learning Architecture for Collaborative Filtering Recommender Systems
- 8. Collaborative Attention Network for Person Re-identification
- 9. 20200427 Knowledge Graph Attention Network for Recommendation
- 10. Knowledge Graph Attention Network for Recommendation