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
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
- 6. Graph Convolutional Networks for Text Classification閱讀筆記
- 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
- 10. Wide & Deep Learning for Recommender Systems 論文閱讀總結
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • 算法總結-回溯法
- • 算法總結-雙指針
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. python的安裝和Hello，World編寫
- 2. 重磅解讀：K8s Cluster Autoscaler模塊及對應華爲雲插件Deep Dive
- 3. 鴻蒙學習筆記2（永不斷更）
- 4. static關鍵字 和構造代碼塊
- 5. JVM筆記
- 6. 無法啓動 C/C++ 語言服務器。IntelliSense 功能將被禁用。錯誤: Missing binary at c:\Users\MSI-NB\.vscode\extensions\ms-vsc
- 7. 【Hive】Hive返回碼狀態含義
- 8. Java樹形結構遞歸（以時間換空間）和非遞歸（以空間換時間）
- 9. 數據預處理---缺失值
- 10. 都要2021年了，現代C++有什麼值得我們學習的？
歡迎關注本站公眾號,獲取更多信息
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
- 6. Graph Convolutional Networks for Text Classification閱讀筆記
- 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
- 10. Wide & Deep Learning for Recommender Systems 論文閱讀總結