Recommendation Algorithms

topic on 7 shows · 8 statements across 8 episodes

Another Podcast Innovators & Investors Latent Space Lenny's Podcast the MAD Podcast the a16z Podcast 20VC

8 statements about Recommendation Algorithms, every show

Mosseri: Recommender systems rely on illegible vectors, not semantic profiles
“I think people assume that there's a much more detailed semantic understanding of everybody's interests and preferences in the algorithm than there is. Most of what's really driven the progress in the world of recommenders over the last five, 10 years have bee…”
Adam Mosseri Jul 9, 2026 ▶ 34:42 The rise of taste, human authenticity and judgment in an AI world | Adam Mosseri (Head of IG)
INNOVATORS & INVESTORS Prediction Not checkable as stated
Varma: Repetitive recommendation algorithms will drive audiences away
“And also I think there is something these companies will have to eventually do is that we know there's an algorithm, which is controlling what we're watching, but you need to figure out how to break it because we don't want to keep consuming the same thing. We…”
Jatin Varma Dec 4, 2025 ▶ 49:12 Ep4: Indian Fandom: COMIC-CONised ft. Jatin Varma ep4
20VC Insight
Chen: Optimizing ML models for clicks creates negative content feedback loops
“Once you optimize for clicks, the most click-baity content starts rising up to the top. You get lots of racy content, lots of girls in bikinis, lots of listicles about 10 horrifying skin diseases, and so on.”
Edwin Chen Jul 21, 2025 ▶ 15:43 Surge CEO & Co-Founder, Edwin Chen: Scaling to $1BN+ in Revenue with NO Funding · 20VC with Harry Stebbings
LATENT SPACE Prediction Held up
Ben-Smith: AI will enable natural language steering of recommendation algorithms
“I think what actually AI will enable is not that you bring your own algorithm, but you will be able to talk. You will be able to communicate with the algorithm.”
Kevin Ben-Smith Mar 14, 2025 ▶ 59:12 Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
Evans: Algorithmic discovery and direct audience ownership are fundamentally incompatible
“You're asking for a recommendation algorithm that will drive all the readers to you, but you're also asking to own your list, and I think that's kind of a contradiction in terms, because if what you're saying is, I want somebody to open the app and have the ap…”
Benedict Evans Mar 14, 2022 ▶ 37:27 The Evolution of networks
a16z Disclosure
Zaharia: Spark was originally designed to run Netflix Prize recommendation algorithms
“So it's actually one of the applications that I first tried to support in Spark was you know, the recommendation algorithm he was working on.”
Matei Zaharia Jan 2, 2019 ▶ 16:41 a16z Podcast | A Conversation With the Inventor of Spark
MAD Assertion Supported
Bloom: Netflix couldn't deploy its $1M prize algorithm due to complexity
“They paid a million dollar bounty, and they wound up looking at the code, and there were hundreds of separate models that were then boosted together, and they said there's no way we can do it.”
Josh Bloom Nov 23, 2015 ▶ 10:28 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
MAD Assertion Not checkable as stated
Birchbox's catalog recommendation algorithm boosted full-size product conversions by 20%
“We were using one of our recommendation algorithms just recently in a catalog sort which we newly put in, and it showed a 20% lift in conversion on, like, full size purchase.”
Liz Crawford Oct 21, 2015 ▶ 20:22 Liz Crawford, Birchbox // Data Science & Analytics at Birchbox (Hosted by FirstMark Capital)

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