PyParis 2017 - Collaborative filtering for recommendation systems in Python, by N. Hug

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Pôle Systematic Paris Region

Pôle Systematic Paris Region

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Пікірлер: 7
@nicolashug866
@nicolashug866 7 жыл бұрын
Hey, author here! For those interested, the slides are available at nicolas-hug.com/pres_pyparis/ , and I also made a blog post detailing matrix factorization: nicolas-hug.com/blog/matrix_facto_1
@ShreyasMangalgi
@ShreyasMangalgi 7 жыл бұрын
Excellent blog and presentation ! Very helpful :)
@hunhwasong8800
@hunhwasong8800 7 жыл бұрын
Thank you so much for uploading this video! It will help me applying the RS to our product.
@요유-여자쇼핑몰모음
@요유-여자쇼핑몰모음 5 жыл бұрын
Hey, I understand what you want to describe, but is it more appropriate once R=MU^T notation is changed into R=UM^T? since the first matrix comes from user's information and second matrix comes from items's information respectively.
@sanketkamta106
@sanketkamta106 5 жыл бұрын
Can you send me the conference paper where this library was published?
@ProfessionalTycoons
@ProfessionalTycoons 6 жыл бұрын
very good matrix factorization talkk\
@Karrismx
@Karrismx 5 жыл бұрын
Thanks for sharing!🤗
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