Can this skill help with large-scale datasets?

It provides implementation patterns designed for scalability, including matrix factorization and efficient data loading strategies for high-volume environments.

Does it include performance evaluation tools?

Yes, it provides code to calculate essential metrics including Precision, Recall, and Normalized Discounted Cumulative Gain (NDCG) to measure accuracy.

What types of recommendation systems can I build?

You can build collaborative filtering, content-based filtering, and hybrid systems tailored to your specific dataset and user interaction patterns.

Which Python libraries are supported?

The skill generates implementation code using industry-standard libraries such as scikit-learn, TensorFlow, and PyTorch.

How does it handle the cold start problem?

The skill incorporates best practices like content-based fallbacks and popularity-based ranking to ensure recommendations work even for new users or items.

AI Recommendation Engine Builder

Name: AI Recommendation Engine Builder
Author: jeremylongshore

byjeremylongshore

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883

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Data Science & ML

Constructs personalized recommendation systems using collaborative, content-based, and hybrid filtering techniques.

This skill empowers Claude to design and implement sophisticated recommendation engines by analyzing user preferences and item features. It automates the end-to-end workflow—from data preprocessing and algorithm selection to model training and performance evaluation using metrics like NDCG. Whether you are building a movie suggestion engine, an e-commerce product recommender, or a personalized news feed, this skill provides the Python code and best practices necessary to handle scalability and the 'cold start' problem effectively.

Key Features

01Implements collaborative and content-based filtering algorithms

02Addresses cold start, scalability, and bias challenges

03Provides performance evaluation with precision, recall, and NDCG metrics

04Generates training code for scikit-learn, TensorFlow, and PyTorch

05883 GitHub stars

06Automates data preprocessing and feature extraction workflows

Use Cases

01Building a personalized movie or media suggestion engine

02Implementing content ranking for news or blog websites

03Creating product recommendations for e-commerce platforms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills skill-adapter

For use in Claude.ai and ChatGPT

Download Skill