shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
| repo name | shenweichen/DeepMatch |
| repo link | https://github.com/shenweichen/DeepMatch |
| homepage | https://deepmatch.readthedocs.io/en/latest/ |
| language | Python |
| size (curr.) | 1026 kB |
| stars (curr.) | 338 |
| created | 2020-04-06 |
| license | Apache License 2.0 |
DeepMatch
DeepMatch is a deep matching model library for recommendations & advertising. It’s easy to train models and to export representation vectors for user and item which can be used for ANN search.You can use any complex model with model.fit()and model.predict() .
Let’s Get Started! or Run examples !
Models List
| Model | Paper |
|---|---|
| FM | [ICDM 2010]Factorization Machines |
| DSSM | [CIKM 2013]Deep Structured Semantic Models for Web Search using Clickthrough Data |
| YoutubeDNN | [RecSys 2016]Deep Neural Networks for YouTube Recommendations |
| NCF | [WWW 2017]Neural Collaborative Filtering |
| MIND | [CIKM 2019]Multi-interest network with dynamic routing for recommendation at Tmall |
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