Non-Sampling Learning for Personalized Recommendation——笔记
Non-Sampling Learning for Personalized Recommendation [参考] 个性化推荐系统中的非采样学习-陈冲 B站视频 https://www.bilibili.com/video/BV1Z64y1u7GK 现有的将深度学习应用大推荐系统任务的工作主要集中在探索和引入不同的神经网络架构，在模型学习算法方面的研究相对较少。 为了优化模型，现有的工作往往使用
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相关文章
- 1. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 2. 论文笔记：Personalized Tag Recommendation for Images Using Deep Transfer Learning
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- 4. Real-Time Personalized Recommendation System
- 5. Learning over Knowledge-Base Embeddings for Recommendation 论文
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- 9. 推荐系统论文笔记---Multi-View Active Learning for Video Recommendation
- 10. 论文笔记+模型实现TransNets: Learning to Transform for Recommendation