---
title: "AI Recommendation Systems: How They Work"
date: 2025-04-23T10:39:04+08:00
draft: false
showtoc: true
tocopen: false
type: posts
author: ["Xinwei Xiong", "Me"]
keywords: []
tags:
  - AI
  - Open Source
categories:
  - Projects
description: >
  Exploring AI-powered recommendation systems and how to build personalized content discovery engines.
aliases:
  - /posts/ai-projects/ai-recommend/
tldr:
  - "Article explores AI-powered recommendation systems and personalized content discovery engine architecture"
  - "Project involves hands-on learning of open-source AI tools combined with practical documentation of the journey"
  - "Related resources cover open-source growth stages, contribution guidelines, community standards, and community engagement practices"
---

> This project is an ongoing process — learning AI open source projects one day at a time, building real-world skills by combining hands-on practice with AI tooling, and documenting the journey.
> [notion List](https://traveling-thistle-a0c.notion.site/Open-Source-Project-Learn-1d2a444a6c008030a24efaa0e3bf5f5c?pvs=4)

**Basic Information:**
- Project Name:
- GitHub URL:
- Primary Tech Stack:



## Related Articles

+ [Stages of Growth in Open Source](/growth/posts/stage-growth-of-open-source/)
+ [A Complete Guide to Open Source Contribution (For First-Timers)](/ai-technology/posts/open-source-contribution-guidelines/)
+ [My Practice Notes: Designing Standards for Open Source Communities](/ai-technology/posts/advanced-githook-design/)
+ [How to Ask Questions in Open Source Communities](/ai-technology/posts/the-art-of-asking-questions-in-open-source-communities/)
