DAT323: Dating and Data Science: How Coffee Meets Bagel Uses Amazon ElastiCache to Deliver High-Quality Match Recommendations - a podcast by AWS

Coffee Meets Bagel is a top-tier dating app that focuses on delivering high-quality matches via our recommendation systems. We use Amazon ElastiCache as part of our recommendation pipeline to identify nearby users with geohashing, store feature vectors for on-demand user similarity calculations, and perform set intersections to find mutual friends between candidate matches. Coffee Meets Bagel also employs Redis for other novel use cases, such as a fault-tolerant priority queue mechanism for its asynchronous worker processes, and storing per-user recommendations in sorted sets. Join our top data scientist and CTO as we walk you through our use cases and architecture and highlight ways to take advantage of ElastiCache and Redis.  

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