Beyond Static Feeds: Engineering Claprec’s Hybrid Recommendation Engine

Claprec addresses the challenge of user retention by moving away from generic feeds to a hybrid recommendation system that balances personalization with location relevance. By integrating Matrix Factorization and complex geo-spatial data resolution, the project demonstrates how micro-services can deliver context-aware content even in 'cold start' scenarios.