论文阅读笔记：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

时间 2021-01-13

标签推荐系统小样本学习+零样本学习 BPR-Map Lin-Map 冷启动推荐人工智能繁體版

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论文：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations / 通过学习属性到特征的映射进行冷启动推荐作者：Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle and Lars Schmidt-Thieme 发表刊物：ICDM

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1. Machine Learning & Deep Learning 论文阅读笔记
2. 论文阅读笔记：Social Collaborative Filtering for Cold-start Recommendations
3. 论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
4. 论文阅读笔记《Learning Embedding Adaptation for Few-Shot Learning》
5. 论文阅读笔记 Meta-Learning for Batch Mode Active Learning
6. 论文阅读笔记《Meta-Learning of Neural Architectures for Few-Shot Learning》
7. 论文阅读笔记《Task-Agnostic Meta-Learning for Few-shot Learning》
8. 论文阅读笔记《Meta-SGD: Learning to Learn Quickly for Few-Shot Learning》
9. 论文阅读笔记《Learning to Compare: Relation Network for Few-Shot Learning》
10. Deep Mutual Learning论文阅读笔记

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