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Recommendation System

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Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement

skills/recommendation-system/SKILL.md

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# Recommendation System

## Overview

This skill implements collaborative and content-based recommendation systems with matrix factorization techniques to predict user preferences, increase engagement, and drive conversions through personalized item suggestions.

## When to Use

- Developing recommendation features to improve user engagement and retention
- Implementing personalized product suggestions to increase sales and conversion rates
- Building hybrid recommendation systems that combine collaborative and content-based approaches
- Analyzing and optimizing recommendation coverage, diversity, and accuracy
- Handling sparse user-item interaction matrices and cold start scenarios
- Running A/B tests to measure the impact of recommendation algorithms on business metrics
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