Collaborative Memory Network for Recommendation Systems解读
Collaborative Memory Network for Recommendation Systems解读 本文为对该论文的简单解读和记录，方便理解 摘要 本文提出协同记忆网络这一深层结构：它是一种将基于潜在因素模型的全局结构和基于邻域的局部结构，用非线性方法进行统一实现的深度结构模型。在Memory Networks的成功推动下，我们将记忆组件和神经注意机制融合为邻域组件，记忆模块中
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相关文章
- 1. Collaborative Memory Network for Recommendation Systems
- 2. 【RS】Collaborative Memory Network for Recommendation Systems - 基于协同记忆网络的推荐系统
- 3. Collaborative Deep Learning for Recommender Systems
- 4. Deep Learning Recommendation Model for Personalization and Recommendation Systems
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- 7. Deep Learning Architecture for Collaborative Filtering Recommender Systems
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