Get it on Google Play

How LLMs Are Reshaping Recommendation Systems

How LLMs Are Reshaping Recommendation Systems

Author: Software Engineering Daily August 18, 2026 Duration: 47:51
Software Engineering Daily
Technology

News feeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently. As LLMs have matured, they have opened up a fundamentally different approach, where a system can reason about content the way it reasons about language. However, that power comes with a fresh set of engineering challenges around cost, scale, and evaluation.

LinkedIn recently rebuilt its news feed to treat content recommendation as a sequence modeling problem. The general approach is to predict what a user will want next, much like an LLM predicts the next token in a sentence.

Tim Jurka has worked at LinkedIn for 13 years and is currently a VP of Engineering. In this episode, Tim joins Matt Merrill to discuss how LinkedIn re-engineered its feed, how the team combines LLMs with traditional signals, managing inference costs at massive scale, steering content quality using natural language policies, and more.

Sponsorship inquiries:
sponsor@softwareengineeringdaily.com

The post How LLMs Are Reshaping Recommendation Systems appeared first on Software Engineering Daily.


Dive into the deep end of the world's most ubiquitous programming language with the JavaScript Archives-Software Engineering Daily. This curated collection pulls from the broader archive, focusing entirely on conversations that dissect the ecosystem, its evolution, and its practical application in modern software engineering. Each episode features in-depth technical interviews with engineers, library authors, and industry leaders who have shaped the language. You'll hear detailed discussions on everything from the intricacies of frameworks like React and Node.js to the underlying mechanics of the V8 engine, from deployment strategies to the challenges of building at scale. The dialogue is substantive and geared toward practicing developers, offering insights that go far beyond surface-level tutorials. For anyone who builds with JavaScript, this podcast serves as an essential audio companion, transforming complex topics into accessible, thoughtful dialogue that illuminates the how and why behind the code we write every day.
Author: Language: en-us Episodes: 50

Official website RSS
youtubelinkedinspotifyapple_music
Software Engineering Daily
Podcast Episodes
Autonomous Drone Delivery at Scale [not-audio_url] [/not-audio_url]

Duration: 50:30
Autonomous drone delivery has long been the stuff of science fiction, but ongoing advances have moved the space from experimental to operational. Zipline is one of the leading companies in this space, with drones that ch…
The European Startup Scene [not-audio_url] [/not-audio_url]

Duration: 48:57
Europe’s startup ecosystem is maturing rapidly, with companies like Revolut, Lovable, and Legora demonstrating that world-class technology businesses can be built and scaled on the continent. While the US remains the dom…
React Native at Scale [not-audio_url] [/not-audio_url]

Duration: 45:35
React Native is an open source framework developed by Meta that allows engineers to build mobile applications for both iOS and Android using a single JavaScript codebase. The framework bridges the gap between web develop…
Formal Methods as Agent Guardrails [not-audio_url] [/not-audio_url]

Duration: 48:32
Formal methods are a branch of mathematics and computer science focused on proving the correctness of systems, and they have long promised a more rigorous foundation for software. However, their complexity has kept them…
Open Source Sustainability [not-audio_url] [/not-audio_url]

Duration: 58:43
Open source software underpins nearly every modern application, including frameworks powering the most popular websites, to the libraries securing financial backend systems. However, while open source drives collaboratio…
Vespa AI and Surpassing the Limits of Vector Search [not-audio_url] [/not-audio_url]

Duration: 38:35
Vector search has risen to become a foundational tool in modern search and retrieval systems, including the RAG pipelines that power many AI applications. However, the demands on retrieval systems are growing more sophis…
SmartBear and Multi-Agent QA [not-audio_url] [/not-audio_url]

Duration: 55:15
AI coding tools have dramatically accelerated the pace of development, and the bottleneck in the software development lifecycle has shifted to code validation and testing. However, the conventional tools and workflows th…
The Ethics of Autonomous Weapons Systems [not-audio_url] [/not-audio_url]

Duration: 1:06:40
Artificial intelligence is transforming warfare faster than the legal and ethical frameworks designed to govern it. Militaries around the world are deploying AI-powered decision support systems to identify targets, asses…
Open-Weight AI Models [not-audio_url] [/not-audio_url]

Duration: 50:14
Open-weight models are AI systems whose trained parameters are publicly released, which allows developers to run, fine-tune, and deploy them independently rather than accessing them only through a hosted API. While close…

«12345»