Metadata-Version: 2.1
Name: mtrec
Version: 0.0.1
Summary: A simple package about multi-task recommendation
Home-page: https://github.com/ZiyaoGeng/MTRec
Author: Ziyao Geng
Author-email: zggzy1996@163.com
License: Apache-2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# MTRec

<p align="left">
  <img src='https://img.shields.io/badge/python-3.8-blue'>
  <img src='https://img.shields.io/badge/NumPy-1.17-brightgreen'>
  <img src='https://img.shields.io/badge/pandas-1.0.5-brightgreen'>
  <img src='https://img.shields.io/badge/sklearn-0.23.2-brightgreen'>
  <img src='https://img.shields.io/badge/Tensorflow-2.4-brightgreen'>
</p>  

MTRec is a simple package about multi-task recommendation.



## Getting Started

### Requirements

- Python 3.8
- NumPy 1.17
- pandas 1.0.5
- sklearn 0.23.2
- Tensorflow 2.4

### Installation

You can install mtrec package,

```
pip install -i https://test.pypi.org/simple/ mtrec
```

this is the testing phase now.

### Example

There are some [simple test](test) to use mtrec package.



## Model

|                         Paper\|Model                         | Published in | Author/Group |
| :----------------------------------------------------------: | :----------: | :----------: |
| Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts\|**MMoE** |  KDD, 2018   |    Google    |



## Discussion

1. If you have any suggestions or questions about the project, you can leave a comment on `Issue` or email `zggzy1996@163.com`.
2. 公众号：

<div align=center><img src="https://cdn.jsdelivr.net/gh/BlackSpaceGZY/cdn/img/weixin.jpg" width="25%"/></div>

