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Title: GitHub - CodingDevs/recommenders: Best Practices on Recommendation Systems · GitHub

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Description: Best Practices on Recommendation Systems. Contribute to CodingDevs/recommenders development by creating an account on GitHub.

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	https://microsoft-recommenders.readthedocs.io/en/latest/?badge=latest
	https://github.com/CodingDevs/recommenders/tree/master#whats-new-october-19-2020
Microsoft News Recommendation Competition Winners Announced, Leaderboard Reopen!	https://msnews.github.io/competition.html
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news recommendation scenario	https://github.com/microsoft/recommenders/tree/master/scenarios/news
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NEWS.md	https://github.com/CodingDevs/recommenders/blob/master/NEWS.md
	https://github.com/CodingDevs/recommenders/tree/master#introduction
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ALS	https://spark.apache.org/docs/latest/api/python/_modules/pyspark/ml/recommendation.html#ALS
xDeepFM	https://arxiv.org/abs/1803.05170
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	https://github.com/CodingDevs/recommenders/tree/master#getting-started
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data science virtual machine (DSVM)	https://azure.microsoft.com/en-gb/services/virtual-machines/data-science-virtual-machines/
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SETUP.md	https://github.com/CodingDevs/recommenders/blob/master/SETUP.md
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Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/02_model_collaborative_filtering/cornac_bpr_deep_dive.ipynb
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Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/fastai_movielens.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/02_model_hybrid/lightfm_deep_dive.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/lightgbm_tinycriteo.ipynb
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Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/geoimc_movielens.ipynb
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Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/02_model_collaborative_filtering/multi_vae_deep_dive.ipynb
Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/lstur_MIND.ipynb
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Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/ncf_movielens.ipynb
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Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/sequential_recsys_amazondataset.ipynb
Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/rbm_movielens.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/rlrmc_movielens.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/sar_movielens.ipynb
Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/sequential_recsys_amazondataset.ipynb
Python CPU / Python GPU	https://github.com/CodingDevs/recommenders/blob/master/examples/02_model_collaborative_filtering/standard_vae_deep_dive.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/02_model_collaborative_filtering/surprise_svd_deep_dive.ipynb
Python CPU	https://github.com/CodingDevs/recommenders/blob/master/examples/00_quick_start/tfidf_covid.ipynb
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	https://github.com/CodingDevs/recommenders/tree/master#preliminary-comparison
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here	http://mymedialite.net/examples/datasets.html
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	https://github.com/CodingDevs/recommenders/tree/master#contributing
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	https://github.com/CodingDevs/recommenders/tree/master#related-projects
Microsoft AI Github	https://github.com/microsoft/ai
NLP best practices	https://github.com/microsoft/nlp-recipes
Computer vision best practices	https://github.com/microsoft/computervision-recipes
Forecasting best practices	https://github.com/microsoft/forecasting
	https://github.com/CodingDevs/recommenders/tree/master#reference-papers
https://dl.acm.org/doi/abs/10.1145/3366424.3382692	https://dl.acm.org/doi/abs/10.1145/3366424.3382692
https://dl.acm.org/doi/10.1145/3298689.3346967	https://dl.acm.org/doi/10.1145/3298689.3346967
microsoft-recommenders.readthedocs.io/en/latest/	https://microsoft-recommenders.readthedocs.io/en/latest/
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