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adding mind competition link to readme #1148

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Jul 20, 2020
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adding mind competition link to readme
gramhagen Jul 19, 2020
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wutaomsft Jul 19, 2020
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gramhagen Jul 20, 2020
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gramhagen Jul 20, 2020
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miguelgfierro Jul 20, 2020
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[![Documentation Status](https://readthedocs.org/projects/microsoft-recommenders/badge/?version=latest)](https://microsoft-recommenders.readthedocs.io/en/latest/?badge=latest)

## What's New (July 20, 2020)
[Microsoft MIND Competition!](https://msnews.github.io/competition.html)

Microsoft is hosting a News Recommendation competition based on the [MIND dataset](https://msnews.github.io/), a large-scale English news dataset with impression logs. Check out the [ACL paper](https://msnews.github.io/assets/doc/ACL2020_MIND.pdf), get familiar with the [news recommendation scenario](https://github.com/microsoft/recommenders/tree/master/scenarios/news), and dive into the [quick start example](examples/00_quick_start/dkn_MIND_dataset.ipynb) using the DKN algorithm. Then try some other algorthms and tools in recommenders and submit your entry!

## Introduction

This repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. The examples detail our learnings on five key tasks:
- [Prepare Data](examples/01_prepare_data): Preparing and loading data for each recommender algorithm
- [Model](examples/00_quick_start): Building models using various classical and deep learning recommender algorithms such as Alternating Least Squares ([ALS](https://spark.apache.org/docs/latest/api/python/_modules/pyspark/ml/recommendation.html#ALS)) or eXtreme Deep Factorization Machines ([xDeepFM](https://arxiv.org/abs/1803.05170)).
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