NARM:Neural Attentive Session-based Recommendation簡析
Neural Attentive Session-based Recommendation 介紹 做者提出以前的工做只考慮了用戶的序列表現，可是對用戶的主要目的並無明顯地強調，所以做者提出Neural Attentive Recommendation Machine（NARM）web 方法 NARM的總體框架以下：架構 編碼器方面含有global encoder和local encoder。框架
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相關文章
- 1. NARM:Neural Attentive Session-based Recommendation簡析
- 2. NAIS: Neural Attentive Item Similarity Model for Recommendation簡析
- 3. Cross-domain Recommendation Without sharing User-relevant Data簡析
- 4. 《NAIS: Neural Attentive Item Similarity Model for Recommendation》論文閱讀及解析
- 5. 推薦系統論文：Neural News Recommendation with Attentive Multi-View Learning
- 6. （論文閱讀筆記）Attentive Aspect Modeling for Review-aware Recommendation
- 7. 推薦系統論文筆記---Neural News Recommendation with Attentive Multi-View Learning
- 8. 論文筆記：NAIS: Neural Attentive Item Similarity Model for Recommendation
- 9. 論文筆記 GAME:Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
- 10. 【論文閱讀】Gated Attentive-Autoencoder for Content-Aware Recommendation