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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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[home/recap] Update heavy ranker explanation of weighted engagement probabilities
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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LICENSE.torchrec
Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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model.py
Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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README.md
Twitter's Recommendation Algorithm - Heavy Ranker and TwHIN embeddings
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README.md

This project open sources some of the ML models used at Twitter.

Currently these are:

  1. The "For You" Heavy Ranker (projects/home/recap).

  2. TwHIN embeddings (projects/twhin) https://arxiv.org/abs/2202.05387

This project can be run inside a python virtualenv. We have only tried this on Linux machines and because we use torchrec it works best with an Nvidia GPU. To setup run

./images/init_venv.sh (Linux only).

The READMEs of each project contain instructions about how to run each project.

Description
Source code for Twitter's Recommendation Algorithm
Readme 1.4 MiB
Languages
Python 99.3%
Shell 0.7%