youtubednn

原文： https://storage.googleapis.com/pub-tools-public-publication-data/pdf/45530.pdf

几篇优秀博客：

https://zhuanlan.zhihu.com/p/52169807

https://zhuanlan.zhihu.com/p/52504407

https://zhuanlan.zhihu.com/p/61827629

https://zhuanlan.zhihu.com/p/46247835

下文为本人总结。

2.SYSTEM OVERVIEW

3.CANDIDATE GENERATION

3.1 Recommendation as Classification

把推荐问题转换成多分类问题

where $u \in \mathbb{R}^{N}$ represents a high-dimensional embedding”of the user, context pair and the $ v_j \in \mathbb{R}^{N}$ represent embeddings of each candidate video.

train：

to efficiently train such a model with millions of classes

1.hierarchical softmax，效果不佳

2.采用candidate sampling，correct for this sampling via importance weighting

At serving time

3.2 CANDIDATE GENERATION

3.3 Heterogeneous Signals

3.4 Label and Context Selection

3.5 Experiments with Features and Depth

4.RANKING