『 論文閱讀』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
本文轉載自: https://blog.csdn.net/shine19930820/article/details/78810984 Abstract Contribution Data Set DSSM FOR USER MODELING IN RECOMMENDATION SYSTEMS word hashing DSSM訓練 MULTI-VIEW DEEP NEURAL NETWORK D
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相關文章
- 1. 『 DSSM』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
- 2. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 3. 論文閱讀：DRN: A Deep Reinforcement Learning Framework for News Recommendation
- 4. Cross-Domain NER using Cross-Domain Language Modeling論文閱讀
- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. Wide & Deep Learning for Recommender Systems 論文閱讀總結
- 7. 論文閱讀14：Reinforcement learning approach towards effective content recommendation in MOOC environments
- 8. [論文解讀]Test Selection for Deep Learning Systems
- 9. 《Wide and deep learning in Recommender Systems》論文閱讀筆記
- 10. 論文閱讀 | Towards a Robust Deep Neural Network in Text Domain A Survey