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shenweichen committed Apr 10, 2020
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3 changes: 2 additions & 1 deletion README.md
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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!**](https://deepmatch.readthedocs.io/en/latest/Quick-Start.html)
Let's [**Get Started!**](https://deepmatch.readthedocs.io/en/latest/Quick-Start.html) or [**Run examples**](./examples/colab_MovieLen1M_YoutubeDNN.ipynb) !



## Models List
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4 changes: 4 additions & 0 deletions docs/source/Examples.md
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# Examples


## Run YoutubeDNN on MovieLen1M on Google colab

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg
)](https://colab.research.google.com/github/shenweichen/DeepMatch/blob/dev_shenweichen/examples/colab_MovieLen1M_YoutubeDNN.ipynb)


## YoutubeDNN with sampled softmax
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2 changes: 1 addition & 1 deletion docs/source/index.rst
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Expand Up @@ -11,7 +11,7 @@ Welcome to DeepMatch's documentation!
DeepMatch is a deep matching model library for recommendations, advertising, and search. 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! <./Quick-Start.html>`_
Let's `Get Started! <./Quick-Start.html>`_ or `Run examples! <https://github.com/shenweichen/DeepMatch/blob/master/examples/colab_MovieLen1M_YoutubeDNN.ipynb>` _

You can read the latest code at https://github.com/shenweichen/DeepMatch

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