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twitter-team b85210863f [home/recap] Update heavy ranker explanation of weighted engagement probabilities

Update heavy ranker README with:
- Clarification that engagement probability weights aren't hardcoded in the code.
- Explanation of how the engagement probability weights were obtained.

2023-04-05 21:20:38 -05:00

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[home/recap] Update heavy ranker explanation of weighted engagement probabilities

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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:

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