【論文閱讀筆記】Deep Learning based Recommender System: A Survey and New Perspectives
本文只是提取了《DeepLearning based Recommender System: A Survey and New Perspectives》這篇文章中的一些主要內容進行翻譯，對於文中的詳細算法感興趣的讀者請參考原文中的相關參考文獻。本文發表在ACM2017上。主要內容如下： 1. 推薦系統模型主要分爲三個大類：基於協同過濾、基於內容和混合模型。推薦系統要完成的任務也可以分爲三
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相關文章
- 1. 【論文閱讀筆記】Deep Learning based Recommender System: A Survey and New Perspectives
- 2. Deep Learning based Recommender System: A Survey and New Perspectives
- 3. Deep Learning based Recommender System:A Survey and New Perspectives
- 4. Deep Learning based Recommender System: A Survey and New Perspectives （1）
- 5. Deep Learning based Recommender System: A Survey and New Perspectives （2）
- 6. 《論文筆記》A Deep Learning Based Collaborative Neural Network Framework for Recommender System
- 7. 論文閱讀筆記：Deep Conversational Recommender System: A New Frontier for Goal-Oriented Dialogue Systems
- 8. A Survey of Recommender Systems Based on Deep Learning （1）
- 9. Explainable Recommendation: A Survey and New Perspectives讀書筆記
- 10. 論文閱讀：《Wide & Deep Learning for Recommender Systems》