提交 3c132e92 编写于 作者: Z zengkai

refine readme for rank and cu

上级 388df4fc
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| Classification | 文本分类 | [Convolutional neural networks for sentence classication (2014)](https://www.aclweb.org/anthology/D14-1181.pdf) | | Classification | 文本分类 | [Convolutional neural networks for sentence classication (2014)](https://www.aclweb.org/anthology/D14-1181.pdf) |
下面是每个模型的简介(注:图片引用自链接中的论文) 下面是每个模型的简介(注:图片引用自链接中的论文)
[TagSpace模型](https://research.fb.com/publications/tagspace-semantic-embeddings-from-hashtags) [TagSpace模型](https://research.fb.com/publications/tagspace-semantic-embeddings-from-hashtags)
<p align="center"> <p align="center">
<img align="center" src="../../doc/imgs/tagspace.png"> <img align="center" src="../../doc/imgs/tagspace.png">
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| DIN | Deep Interest Network | [Deep Interest Network for Click-Through Rate Prediction](https://dl.acm.org/doi/pdf/10.1145/3219819.3219823)(2018) | | DIN | Deep Interest Network | [Deep Interest Network for Click-Through Rate Prediction](https://dl.acm.org/doi/pdf/10.1145/3219819.3219823)(2018) |
下面是每个模型的简介(注:图片引用自链接中的论文) 下面是每个模型的简介(注:图片引用自链接中的论文)
[wide&deep](https://dl.acm.org/doi/pdf/10.1145/2988450.2988454): [wide&deep](https://dl.acm.org/doi/pdf/10.1145/2988450.2988454):
<p align="center"> <p align="center">
<img align="center" src="../../doc/imgs/wide&deep.png"> <img align="center" src="../../doc/imgs/wide&deep.png">
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