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Recommendation Systems
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Sifting through hundreds of thousands of hours of indexed videos
Recommendation Systems
Sifting through hundreds of thousands of hours of indexed videos
Recommendation Systems
Arcmira media summary
Explore podcasts, interviews & explainers on Recommendation Systems — 7 indexed from Grace Gong & TEDx Talks, updated Feb 2026.
Deepak explains the technical architecture and 'explore-exploit' algorithms of recommenders.
Discussion of how AI algorithms are designed to capture and predict user attention.
recommendation systems
if recommendation systems can do that to people
Or the recommendation systems, not language models today, but they're basically already these big, massive scale machine learning systems.
Arcmira tracks 7 indexed media appearances or mentions for Recommendation Systems, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "Deepak Agarwal, LinkedIn Chief AI Officer on AI Platforms" with transcript-derived context and links when available.
Recommendation Systems is connected to AI, Meta, Twitter in Arcmira's media graph.
7
Mentions
236.2K
Views
The trendline is visible, but the dated evidence behind Recommendation Systems is in the premium layer.
“Deepak explains the technical architecture and 'explore-exploit' algorithms of recommenders.”
“Discussion of how AI algorithms are designed to capture and predict user attention.”
“recommendation systems”
“if recommendation systems can do that to people”
“Or the recommendation systems, not language models today, but they're basically already these big, massive scale machine learning systems.”