How LLMs Are Reshaping Recommendation Systems
Podcast Archives - Software Engineering Daily

How LLMs Are Reshaping Recommendation Systems

B2中高级2026年8月18日47分钟
  • 访谈
  • 科技

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.<...

播放本集

打开播放器：完整文字稿，每个单词都可点击，附翻译和单词卡。

试一试：点任意单词

来自本集开头的真实句子，每个单词都标出了难度级别。

第 1 句，共 12 句 · 1:28

, , .

So today we're going to talk a little bit about what LinkedIn is doing with revamping

听这一句

点一个单词，用你的语言查看释义。

这些单词你认识吗？

本集中 8 个较难的单词。点一个查看释义，然后标记一下。

  • B25:05
  • B29:41
  • B212:46
  • C218:45
  • C124:55
  • B231:42
  • B241:35
  • C142:09

标记几个单词，我们会告诉你这一集是否适合你的水平。

这一集适合你吗？

B2

B2 · 中高级

能看懂电视新闻就会觉得轻松

A1 26%A2 35%B1 18%B2 17%C1 4%
  • 79% 的单词在 B1 或更简单的水平。
  • 每分钟 197 词：自然语速，偏快。
  • 整集共有 271 个较难的单词（B2 及以上）。

文字稿

本集开头部分。完整文字稿在播放器中。

1:28

Hey everybody, I'm Matt Merrill and I am here with Tim Jerka, VP of Engineering from LinkedIn. So today we're going to talk a little bit about what LinkedIn is doing with revamping their social feed with AI. Before we start, Tim, can you tell us a little bit about yourself and your current role at LinkedIn?

1:54

Thanks for having me, Matt. As you mentioned, my name is Tim Ierka. I am VP of engineering at LinkedIn and I work on our consumer products. So what that would be is things like the LinkedIn feed, search experience, profile, pretty much anything you will engage with when you open up the LinkedIn app. And I actually started here 13 years ago as an engineer on the

2:13

feed. I was an AI engineer, one of the first AI engineers building the LinkedIn feed. So it's been pretty amazing to go from actually building the thing to now see the thing operating out just massive scale with 1.3 billion numbers. It's been quite a journey. So recently, you guys have rolled out some pretty major updates to how you're making

以上是开头部分。 本集其余部分（45 分钟）在播放器中：每个单词都可点击，附翻译、生词收藏和单词卡。

在播放器中继续

由音频自动生成，可能存在错误。 音频版权归其发布者所有，并从其订阅源播放。版权所有者可申请删除 — 版权与删除政策