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User Experience
Content Recommendation Engine
Overview
Users struggled to discover relevant content in a large catalog, leading to low engagement and high bounce rates.
The Challenge
Users struggled to discover relevant content in a large catalog, leading to low engagement and high bounce rates.
Our Approach
Implemented a recommendation system using collaborative filtering and content analysis to surface personalized suggestions based on user behavior.
The Outcome
Increased user engagement and content discovery, improving session duration and reducing churn through more relevant experiences.
What Was Delivered
- Recommendation algorithm
- A/B testing framework
- Performance monitoring
- API integration
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