API for AI Users Clustering and Recommender System
summary
Bachcode offers an API-backed platform called we healthier that clusters users and serves recommendations; it clusters a 40,000-user dataset with unsupervised methods to auto-label health profiles, exposes an AI health check and personalized dietitian API, and supplies both factorization-machine models and RNN session-based APIs for cold sessions. A reinsurance client is rolling the health-check into underwriting, and a deep factorization-machine hybrid handles high- and low-order feature interactions for cross-domain use (ecommerce, banking) and live recommendation.
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chapters (4)
- 0:00Start
- 11:02Recurrent Neural Network (RNN) Session-Based Recommender Systems
- 12:03HIGH vs LOW Order Features Interactions Recommender Systems
- 16:04Summary API Collaboration with Financial Services
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