After years of innovation and research in #ML, #DataAnalytics and particularly #RecommenderSystems field, it turned out to be better to just ask your users what they want to see)))
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Alex Kuprinskii retweeted
👑Grand Launch of Squid NFT World!👑
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Alex Kuprinskii retweeted
Introducing TT-Rec, a new method to dramatically shrink memory-intensive Deep Learning Recommendation Models and make them easier to deploy at scale. arxiv.org/abs/2101.11714
Alex Kuprinskii retweeted
Counsel for iFinex Inc - parent company of Tether and Bitfinex - have requested another 30 days to produce critical trial documents for its ongoing legal battle with the NYAG. cointelegraph.com/news/tethe…
Alex Kuprinskii retweeted
Slides from my talk yesterday at the Netflix Expo at #RecSys2020 about "Recent Trends in Personalization at Netflix" covering some areas that we're working on at @NetflixResearch plus plenty of open challenges slideshare.net/justinbasilic…
Alex Kuprinskii retweeted
1/8 What does it mean to filter an image (or signal)? Often we choose, or design, a set of weights and apply them to the input image. But what loss/objective function does this process optimize (if any)? Should we care?
Alex Kuprinskii retweeted
Twitter is partnering with @recsyschallenge for 2020! We are releasing a huge dataset and we hope you will try train a model on it.
Looking forward to seeing all the submissions!
@ACMRecSys
recsyschallenge.com/2020/
Alex Kuprinskii retweeted
In The Batch's new year edition, @ylecun @katecrawford @kaifulee @animaanandkumar @etzioni @chelseabfinn @RichardSocher @dawnsongtweets, Dave Patterson & Zhi-Hua Zhou share their hopes for AI in 2020. Check it out (and subscribe if you haven't yet!): hubs.ly/H0mlJKk0
Alex Kuprinskii retweeted
Microsoft researchers and engineers release Zero Redundancy Optimizer (ZeRO) and DeepSpeed library, a system able to train 100-billion-parameter deep learning models. Learn about this breakthrough and how it led to Turing Natural Language Generation: aka.ms/AA79s5c











