Recommendation Engine Development

Developed a recommendation engine using collaborative filtering and user behavior analysis to generate personalized suggestions. Processed interaction data, built similarity models, and optimized ranking algorithms. Integrated model output into backend systems for real-time recommendations and improved user engagement.