《DropoutNet: Addressing Cold Start in Recommender Systems》論文閱讀筆記
DropoutNet: Addressing Cold Start in Recommender Systems 來源：NIPS 2017，原文鏈接 作者：Maksims Volkovs、Guangwei Yu and Tomi Poutanen from layer6.ai公司 轉載請註明出處：http://www.scholat.com/hailin 由於隱語義模型（Latent models
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相關文章
- 1. 博文翻譯：Tackling the Cold Start Problem in Recommender Systems
- 2. 《Wide and deep learning in Recommender Systems》論文閱讀筆記
- 3. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 4. 論文閱讀筆記：Social Collaborative Filtering for Cold-start Recommendations
- 5. 論文閱讀筆記：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
- 6. 論文閱讀筆記：From Zero-Shot Learning to Cold-Start Recommendation
- 7. 論文閱讀筆記：Low-rank Linear Cold-Start Recommendation from Social Data
- 8. 論文閱讀筆記：Recurrent recommender networks
- 9. 論文筆記 - Wide & Deep Learning for Recommender Systems
- 10. Wide & Deep Learning for Recommender Systems論文筆記