Deep Learning based Recommender System: A Survey and New Perspectives （2）
感想 篇幅有限，這是接着上面的續篇，let's continue 4.2 基於Autoencoder的推薦系統 現存的兩種把autoencoder運用到推薦系統上的方法爲：（1）使用autoencoder在bottleneck層學習低維特徵表達；（2）直接在重構層填充評分矩陣的空白。 4.2.1 僅僅依賴於Autoencoder的推薦 AutoRec AutoRec把用戶部分向量r^((u))或者
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相關文章
- 1. Deep Learning based Recommender System: A Survey and New Perspectives
- 2. Deep Learning based Recommender System:A Survey and New Perspectives
- 3. 【論文閱讀筆記】Deep Learning based Recommender System: A Survey and New Perspectives
- 4. Deep Learning based Recommender System: A Survey and New Perspectives （1）
- 5. A Survey of Recommender Systems Based on Deep Learning （1）
- 6. Explainable Recommendation: A Survey and New Perspectives讀書筆記
- 7. 《論文筆記》A Deep Learning Based Collaborative Neural Network Framework for Recommender System
- 8. An Efficient Deep Learning Approach for Collaborative Filtering Recommender System
- 9. A Deep Learning-Based System for Vulnerability Detection
- 10. <Representation Learning: A Review and New Perspectives> 綜述翻譯總結