閱讀總結：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
Graph Convolutional Neural Networks for Web-Scale Recommender Systems 主要內容概括： 1、 模型： 優化： 大部分譯文： 摘要： 圖結構的深度神經網絡在推薦系統應用中最近已經有很好的表現。然而，使這些方法變得實用，對於擁有千萬物品和一億用戶的網絡推薦系統，還有挑戰。我們闡述了一個發展和應用在Pinterest上的大規模的深度推薦
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相關文章
- 1. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 2. Graph Convolutional Neural Networks for Web-Scale Recommender Systems閱讀筆記
- 3. Knowledge Graph Convolutional Networks for Recommender Systems
- 4. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems閱讀筆記
- 5. 論文閱讀：Knowledge Graph Convolutional Networks for Recommender Systems
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- 7. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
- 8. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
- 9. Paper Notes: Graph Convolutional Neural Networks for Web-Scale Recommender Systemste
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