---
title: "Twitter's Recommendation Algorithm"
url: https://daily.dev/posts/twitter-s-recommendation-algorithm-d6dzvkr5x
source_url: https://blog.x.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm
type: article
source: "Twitter Engineering"
published: 2024-02-14T00:11:08.460Z
updated: 2024-05-09T09:28:18.744Z
tags: ["twitter"]
reading_time: 6
upvotes: 1
comments: 0
language: en
---

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# Twitter's Recommendation Algorithm

**[Twitter Engineering](https://daily.dev/sources/twitter)** · 6 min read · 1 upvotes · 0 comments

## Summary

Twitter's recommendation algorithm selects the top tweets for the For You timeline by using core models and features to extract latent information from tweet, user, and engagement data. The recommendation pipeline consists of candidate sources, real graph ranking, engagements analysis, embedding space approaches, and scoring with a neural network. The goal is to deliver relevant and diverse tweets to users.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.x.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm>

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Tags: [#twitter](https://daily.dev/tags/twitter)

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