Content Recommendation for Justease
OVERVIEW
Implemented a sophisticated recommendation system to enhance user satisfaction and engagement by providing personalized suggestions.
Key Highlights
Challenges Addressed
Implementing a recommendation system that adapts to diverse user preferences and dynamic behavior while ensuring accurate and personalized suggestions, supporting scalability with a growing user base.
Approach Implemented
Utilized hybrid recommendation techniques integrating content and collaborative filtering. Incorporated user feedback mechanisms, A/B testing, and real-time updates for optimal performance.
Results Achieved
Personalized user experiences with tailored suggestions, improved accuracy via combined filtering methods, and dynamic adaptation to evolving preferences in a scalable system.
Technology Stack
- Content Filtering
- Collaborative Filtering
- Hybrid Recommendation Systems
- A/B Testing
- Real-time User Behavior Tracking
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