[文獻閱讀] DMF: Deep Matrix Factorization Models for Recommender Systems
論文題目：《Deep Matrix Factorization Models for Recommender Systems》 論文地址：https://www.ijcai.org/proceedings/2017/0447.pdf What: In this paper, we propose a novel matrix factorization model with neural netw
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- 1. 【論文導讀】MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
- 2. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 3. Wide & Deep Learning for Recommender Systems
- 4. Wide & Deep Learning for Recommender Systems 論文閱讀總結
- 5. Wide &Deep Learning for Recommender Systems
- 6. Collaborative Deep Learning for Recommender Systems
- 7. Paper Reading:Wide & Deep Learning for Recommender Systems
- 8. 論文閱讀——矩陣填補模型之深度矩陣分解（Deep Matrix Factorization）
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相關文章
- 1. 【論文導讀】MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
- 2. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 3. Wide & Deep Learning for Recommender Systems
- 4. Wide & Deep Learning for Recommender Systems 論文閱讀總結
- 5. Wide &Deep Learning for Recommender Systems
- 6. Collaborative Deep Learning for Recommender Systems
- 7. Paper Reading:Wide & Deep Learning for Recommender Systems
- 8. 論文閱讀——矩陣填補模型之深度矩陣分解（Deep Matrix Factorization）
- 9. Wide & Deep Learning for Recommender Systems論文筆記
- 10. 《Wide & Deep Learning for Recommender Systems》論文總結