Database Reference
In-Depth Information
An architecture for a machine learning
system
Now that we have explored how our machine learning system might work in the context of
MovieStream, we can outline a possible architecture for our system:
MovieStream's future architecture
As we can see, our system incorporates the machine learning pipeline outlined in the pre-
ceding diagram; this system also includes:
• Collecting data about users, their behavior, and our content titles
• Transforming this data into features
• Training our models, including our training-testing and model-selection phases
• Deploying the trained models to both our live model-serving system as well as us-
ing these models for offline processes
• Feeding back the model results into the MovieStream website through recommend-
ation and targeting pages
• Feeding back the model results into MovieStream's personalized marketing chan-
nels
• Using the offline models to provide tools to MovieStream's various teams to better
understand user behavior, characteristics of the content catalogue, and drivers of
revenue for the business
