Netflix Research

232 posts

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Netflix Research

Netflix Research

@NetflixResearch

Katılım Eylül 2016
70 Takip Edilen10.6K Takipçiler
Netflix Research
Netflix Research@NetflixResearch·
Join the Netflix Algorithms Engineering team! We’re looking for great machine learning applied researchers and ML software engineers to help shape the future of entertainment, spanning personalization for recommendations, search, messaging, and growth. Links below.
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Netflix Research
Netflix Research@NetflixResearch·
We're now accepting applications for Machine Learning research internships at Netflix Research for summer 2024, including in our personalization, recommendations, and search teams. Find out more and apply here: jobs.netflix.com/jobs/300628646
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Netflix Research
Netflix Research@NetflixResearch·
A good reward function is critical for your recommender, bandit, or RL model to perform well. Check out our #RecSys2023 industry track paper on how we built a system to make it easier to test new reward definitions for our recommendation models. dl.acm.org/doi/10.1145/36…
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Netflix Research
Netflix Research@NetflixResearch·
Also for those attending #RecSys2023 in-person, come hear @panjiangwei give a presentation on the work during Session 17 starting at 4:05 today.
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Netflix Research
Netflix Research@NetflixResearch·
For those attending #RecSys2023 today in-person, its also being presented as a poster by Ding Tong. Drop by if you want to learn more.
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Netflix Research
Netflix Research@NetflixResearch·
Feedback loops in Recommender Systems aren't mythical like bigfoot; they're real. Check out our #RecSys2023 industry track paper on lessons learned in detecting and addressing them at Netflix. dl.acm.org/doi/10.1145/36…
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Netflix Research
Netflix Research@NetflixResearch·
Join our Mark (Ko-Jen) Hsiao at the #RecSys2023 VideoRecSys workshop for a presentation on "From Stranger Things to Your Favorite Things: Netflix's Recommendation Evolution". The talk will be at 4:35 today in room 327.
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Netflix Research
Netflix Research@NetflixResearch·
For those attending #RecSys2023, come see a talk from our @panjiangwei on "Recommendation Modeling with Impression Data at Netflix" at the LERI workshop at 2:00.
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Netflix Research retweetledi
Zhankui He
Zhankui He@ZhankuiHe·
🤖️ Are LLMs good Conversational Recommender Systems (CRS) ? We (@McAuleyLabUCSD and @NetflixResearch) let LLMs generate movie names directly in response to natural-language user requests. Key observations in the experiments:
Zhankui He tweet media
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Netflix Research
Netflix Research@NetflixResearch·
Next in our series of Media ML blog posts, we talk about a couple of approaches that we developed at Netflix to algorithmically infer scene changes and boundaries, using video and audio features: netflixtechblog.com/detecting-scen…
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Netflix Research
Netflix Research@NetflixResearch·
Our third post in the series about how Netflix uses Machine Learning and Computer Vision to make better media is up. We go deep on causal impact of successful visual components of promotional artwork on our member’s choosing experience. netflixtechblog.medium.com/causal-machine…
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