recommender-systems
CommunityMaster end-to-end recommender systems.
Data & Analytics#production-patterns#content-based#collaborative-filtering#two-tower#recommender-systems#learning-to-rank
Authorinfantesromeroadrian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Build and deploy scalable recommender systems that combine multiple approaches for personalized recommendations across products and content.
Core Features & Use Cases
- Collaborative Filtering
- Content-Based Filtering
- Two-Tower Models
- Learning to Rank
- Production Patterns & Deployment
- Evaluation & Monitoring
Quick Start
Start by outlining your data, choose an approach, and implement a scalable recommender using the patterns in this guide.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: recommender-systems Download link: https://github.com/infantesromeroadrian/arca-claude-code/archive/main.zip#recommender-systems Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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