This video will get you up and running with your first movie recommender system in just 10 lines of C++. We train a neural network on a MovieLens dataset of movie ratings by different users to generate a top 10 recommendation list for the default user ID.
The code for this video is here (everything included):
https://github.com/llSourcell/Movie_Recommender
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
The Original Amazon DSSTNE code is here:
https://github.com/amznlabs/amazon-dsstne
Link to AWS:
https://aws.amazon.com/
Link to FileZilla:
https://sourceforge.net/projects/filezilla/
Paper I found pretty cool (a deep learning based rec system):
https://arxiv.org/pdf/1409.2944.pdf
And a correction -- Scott grand recently tested it vs Tensorflow and reported not just a 2x, but a 15x speedup:
https://medium.com/@scottlegrand/first-dsstne-benchmarks-tldr-almost-15x-faster-than-tensorflow-393dbeb80c0f#.loze1hltg
I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now.
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https://www.patreon.com/user?ty=h&u=3191693
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