论文学习：《Deep Neural Networks for YouTube Recommendations》
最近在学习推荐系统的论文，仔细研读了《Deep Neural Networks for YouTube Recommendations》一文。这篇文章是2016年Youtube团队将深度学习应用到推荐系统上的一次尝试，下面详细介绍和解读下这篇文章： 《Youtube深度神经网络推荐系统》 一、 Youtube业务的需求 Youtube面临以下三方面的挑战： 规模大：用户和视频的数量都很大，传统适合
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相关文章
- 1. [deep compression] compressing deep neural networks 论文学习
- 2. Deep Neural Networks for Object Detection论文翻译
- 3. [论文解读] Concolic Testing for Deep Neural Networks
- 4. 论文阅读：Deep Neural Networks for Object Detection
- 5. Deep Learning 论文解读——Session-based Recommendations with Recurrent Neural Networks
- 6. 论文学习：Deep Convolutional Neural Networks On Multichannel Time Series For Human Activity Recognition
- 7. Neural Networks and Deep Learning-引论
- 8. SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS论文解读
- 9. Deep Neural Networks for Object Detection
- 10. Aggregated Residual Transformations for Deep Neural Networks