Metadata-Version: 2.1
Name: deepmatch-torch
Version: 0.0.1
Summary: DeepMatch-Torch
Home-page: https://github.com/bbruceyuan/DeepMatch-Torch
Author: bbruceyuan
Author-email: bruceyuan123@gmail.com
License: Apache-2.0
Download-URL: https://github.com/bbruceyuan/DeepMatch-Torch
Description: # DeepMatch_Torch
        
        PyTorch version of [DeepMatch](https://github.com/shenweichen/DeepMatch).
        
        DeepMatch_Torch is a PyTorch Version 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) or [**Run examples**](./examples/colab_MovieLen1M_YoutubeDNN.ipynb) !
        
        ## Models List
        
        |    Model   | Paper| 
        | :------: | :----------- |
        |  [FM](https://github.com/bbruceyuan/DeepMatch-Torch/blob/main/deepmatch_torch/models/fm.py)  | [ICDM 2010][Factorization Machines](https://www.researchgate.net/publication/220766482_Factorization_Machines) |
        | [DSSM](https://github.com/bbruceyuan/DeepMatch-Torch/blob/main/deepmatch_torch/models/dssm.py) | [CIKM 2013][Deep Structured Semantic Models for Web Search using Clickthrough Data](https://www.microsoft.com/en-us/research/publication/learning-deep-structured-semantic-models-for-web-search-using-clickthrough-data/)    |
        | [YoutubeDNN](https://github.com/bbruceyuan/DeepMatch-Torch/blob/main/deepmatch_torch/models/youtubednn.py)     | [RecSys 2016][Deep Neural Networks for YouTube Recommendations](https://www.researchgate.net/publication/307573656_Deep_Neural_Networks_for_YouTube_Recommendations)            |
        | [NCF](https://github.com/bbruceyuan/DeepMatch-Torch/blob/main/deepmatch_torch/models/ncf.py)  | [WWW 2017][Neural Collaborative Filtering](https://arxiv.org/abs/1708.05031)       |
        | [MIND](https://github.com/bbruceyuan/DeepMatch-Torch/blob/main/deepmatch_torch/models/mind.py) | [CIKM 2019][Multi-interest network with dynamic routing for recommendation at Tmall](https://arxiv.org/pdf/1904.08030)  |
        
        
        
Keywords: match,deepmatch_torch,deepmatch-torch,deepmatch-pytorch,deep learning,torch,tensor,pytorch,deepmatch
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
Description-Content-Type: text/markdown
