---
title: "Project Sauron: building a two-tower retrieval model for personalized recommendations at daily.dev"
url: https://daily.dev/posts/project-sauron-building-a-two-tower-retrieval-model-for-personalized-recommendations-at-daily-dev-of94alvuj
source_url: https://daily.dev/blog/project-sauron-building-a-two-tower-retrieval-model-for-personalized-recommendations-at-daily-dev
type: article
source: "daily.dev"
published: 2024-11-05T16:57:06.346Z
updated: 2024-12-09T12:51:44.634Z
tags: ["machine-learning", "deep-learning", "tensorflow", "dailydev", "recommendation-systems"]
reading_time: 7
upvotes: 27
comments: 2
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Project Sauron: building a two-tower retrieval model for personalized recommendations at daily.dev

**[daily.dev](https://daily.dev/sources/daily)** · 7 min read · 27 upvotes · 2 comments

## Summary

Project Sauron by daily.dev uses two-tower retrieval models to deliver personalized content to developers, significantly boosting engagement metrics. The model employs deep learning to process user and post features, creating highly relevant recommendations. Efforts are ongoing to improve the model's accuracy and address concerns such as diversity in recommendations and cold-start user issues.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://daily.dev/blog/project-sauron-building-a-two-tower-retrieval-model-for-personalized-recommendations-at-daily-dev>

## Community discussion

Top comments from developers on daily.dev.

**@dave28** · 1 upvotes

> This work has had a huge impact on the quality of my feed.

**@thecookingsenpai** · 0 upvotes

> This is why I keep coming back to daily.dev .
>
> Also, tldr for lazy or busy people (made with Orbit by Mozilla):
>
> ## Summary
>
> Project Sauron is a personalized recommendation system developed by daily.dev, which utilizes two-tower retrieval models to deliver highly relevant posts to users in "My Feed" and Digest emails. The system processes various user and content features to enhance relevance and diversity, leading to increased user engagement. Daily.dev faced the challenge of filtering through thousands of daily posts to deliver the most relevant content to over half a million users, each...

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#tensorflow](https://daily.dev/tags/tensorflow), [#dailydev](https://daily.dev/tags/dailydev), [#recommendation-systems](https://daily.dev/tags/recommendation-systems)

[View this post on daily.dev](https://daily.dev/posts/project-sauron-building-a-two-tower-retrieval-model-for-personalized-recommendations-at-daily-dev-of94alvuj)