Operationalize

In this directory, a notebook is provided to demonstrate how recommendation systems developed in a heterogeneous environment (e.g., Spark, GPU, etc.) can be operationalized.

Notebook	Description
als_movie_o16n	End-to-end examples demonstrate how to build, evaluate, and deploy a Spark ALS based movie recommender with Azure services such as Databricks, Cosmos DB, and Kubernetes Services.
aks_locust_load_test	Load test example for a recommendation system deployed on an AKS cluster
lightgbm_criteo_o16n	Content-based personalization deployment of an ad click prediction scenario