Twitter's Recommendation Algorithm
Channel: Devopedia
Date: 2023-06-23

On 31 March, Twitter announced on its blog that it was open sourcing it's recommendation algorithm. The code includes different components of the data pipeline and the ML models that are exercised in some of these components. This code is a useful reference for data scientists keen to learn the technical aspects of recommendation systems. For others, this code can help assess to what extent Twitter has brought transparency to the way it promotes some tweets over others.
 
This talk will introduce the data pipeline and the ML models that rank tweets. We will also look at the main aspects of the code that implement these. As a pre-requisite, participants must have some exposure to machine learning and recommendation systems.
 
Speaker
Arvind Padmanabhan, Trustee @ Devopedia Foundation
https://www.linkedin.com/in/arvindpdmn/

Relevant Links:
1. https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm
2. https://github.com/twitter/the-algorithm
3. https://github.com/twitter/the-algorithm-ml
4. https://github.com/igorbrigadir/awesome-twitter-algo