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| 匹配 |[MultiView-Simnet](models/match/multiview-simnet/)| ✓ | ✓ | ✓ | x | >=2.1.0 |[WWW 2015][A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/frp1159-songA.pdf)|
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| 召回 |[TDM](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/treebased/tdm/)| ✓ | >=1.8.0 | ✓ | >=1.8.0 |[1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5)|[KDD 2018][Learning Tree-based Deep Model for Recommender Systems](https://arxiv.org/pdf/1801.02294.pdf)|
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| 召回 |[fasttext](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/recall/fasttext/)| ✓ | ✓ | x | x |[1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5)|[EACL 2017][Bag of Tricks for Efficient Text Classification](https://www.aclweb.org/anthology/E17-2068.pdf)|
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| 召回 |[MIND](models/recall/mind/)| ✓ | ✓ | x | x | >=2.1.0 |[2019][Multi-Interest Network with Dynamic Routing for Recommendation at Tmall](https://arxiv.org/pdf/1904.08030.pdf)|
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| 召回 |[MIND](models/recall/mind/)| ✓ | ✓ | x | x |>=2.1.0 |[2019][Multi-Interest Network with Dynamic Routing for Recommendation at Tmall](https://arxiv.org/pdf/1904.08030.pdf)|
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| 召回 |[Word2Vec](models/recall/word2vec/)| ✓ | ✓ | ✓ | x | >=2.1.0 |[NIPS 2013][Distributed Representations of Words and Phrases and their Compositionality](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf)|
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| 召回 |[DeepWalk](models/recall/deepwalk/)| ✓ | ✓ | x | x | >=2.1.0 |[SIGKDD 2014][DeepWalk: Online Learning of Social Representations](https://arxiv.org/pdf/1403.6652.pdf)|
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| 召回 |[SSR](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/recall/ssr/)| ✓ | ✓ | ✓ | ✓ |[1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5)|[SIGIR 2016][Multtti-Rate Deep Learning for Temporal Recommendation](http://sonyis.me/paperpdf/spr209-song_sigir16.pdf)|
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