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Created April 17, 2019 12:45
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recsys intro resources

Recsys resources

Xavier Amatriaian created some of the best basic tutorials:

the biggest one was from a recsys summer school: https://www.slideshare.net/xamat/recommender-systems-machine-learning-summer-school-2014-cmu (2 hr video here: 2hr video )

He has been prolific afterwards:

the-recommender-problem-revisited

and

lessons-learned-from-building-reallife-recommender-systems

Every recsys conference year has a set of tutorials. Most of them have slides: https://recsys.acm.org/recsys18/tutorials/

Microsoft has a working code repository to stand up a recommender system on azure, leveraging databricks and their stack: https://github.com/Microsoft/Recommenders

Papers

Seminal papers here: https://github.com/YuyangZhangFTD/awesome-RecSys-papers

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