NEWS.md · FruitTea/recommenders

# What's New

## Update October 19, 2020

Leaderboard Reopen!

[Microsoft News Recommendation Competition Winners Announced](https://msnews.github.io/competition.html)

Congratulations to all participants and [winners](https://msnews.github.io/competition.html#winner) of the Microsoft News Recommendation Competition!  In the last two months, over 200 participants from more than 90 institutions in 19 countries and regions joined the competition and collectively advanced the state of the art of news recommendation.

The competition is based on the recently released [MIND dataset](https://msnews.github.io/), an open, large-scale English news dataset with impression logs.  Details of the dataset are available at this [ACL paper](https://msnews.github.io/assets/doc/ACL2020_MIND.pdf).

With the competition successfully closed, the [leaderboard](https://msnews.github.io/competition.html#leaderboard) is now reopn.  Want to see if you can grab the top spot? Get familiar with the [news recommendation scenario](https://github.com/microsoft/recommenders/tree/master/scenarios/news).  Then dive into some baselines such as [DKN](examples/00_quick_start/dkn_MIND.ipynb), [LSTUR](examples/00_quick_start/lstur_MIND.ipynb), [NAML](examples/00_quick_start/naml_MIND.ipynb), [NPA](examples/00_quick_start/npa_MIND.ipynb) and [NRMS](examples/00_quick_start/nrms_MIND.ipynb) and start hacking!

## Update October 5, 2020

[Microsoft News Recommendation Competition Winners Announced, Leaderboard to Reopen!](https://msnews.github.io/competition.html)

With the competition successfully closed, the [leaderboard](https://msnews.github.io/competition.html#leaderboard) will reopen soon.  Want to see if you can grab the top spot? Get familiar with the [news recommendation scenario](https://github.com/microsoft/recommenders/tree/master/scenarios/news).  Then dive into some baselines such as [DKN](examples/00_quick_start/dkn_MIND.ipynb), [LSTUR](examples/00_quick_start/lstur_MIND.ipynb), [NAML](examples/00_quick_start/naml_MIND.ipynb), [NPA](examples/00_quick_start/npa_MIND.ipynb) and [NRMS](examples/00_quick_start/nrms_MIND.ipynb) and get ready!

## Update July 20, 2020

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 algorithms (NAML, NPA, NRMS, LSTUR) and tools in recommenders and submit your entry!

## Update August 20, 2020

New relase: [Recommenders 2020.8](https://github.com/microsoft/recommenders/releases/tag/2020.8)

13 new algos and multiple fixes and new features

## Update September 18, 2019

New relase: [Recommenders 2019.9](https://github.com/microsoft/recommenders/releases/tag/2019.09)

## Update September 15, 2019

We reached 5000 stars!!

## Update June 3, 2019

New release: [Recommenders 2019.6](https://github.com/microsoft/recommenders/releases/tag/2019.06)

## Update February 20, 2019

New release: [Recommenders 2019.2](https://github.com/microsoft/recommenders/releases/tag/2019.02)

## Update February 11, 2019

We reached 1000 stars!!

## Update December 12, 2018

First release: [Recommenders 2018.12](https://github.com/microsoft/recommenders/releases/tag/0.1.1)

## Update November 12, 2018

First pre-release: [Recommenders 2018.11](https://github.com/microsoft/recommenders/releases/tag/0.1.0)

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