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Reinforcement Learning for Budget Constrained Recommendations

Netflix Tech

It will become clear that the RL based solution to budget constrained recommendation problems fits well within the recommender system architecture for slate construction. Once we have a model for q , we can use that as the item scorer in the above slate recommender system architecture. If the discount factor ? =0,

Budget 71
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6 Crucial Issues for Legacy.NET App Modernization

Datavail

This should include asking questions like: What is the system architecture? For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. Selecting the right metrics. Data security, too, can be a crucial business metric.

Azure 52
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Pragmatic Innovation in Software Development

Apiumhub

Incremental improvements: Rather than pursuing radical or disruptive changes, pragmatic innovation often involves incremental improvements to existing systems, processes, or products. It looks for ways to enhance efficiency, usability, and performance by adopting new technologies or refining existing ones.

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Research Results: Key software architecture metrics

Apiumhub

If you remember my article about Software Architecture Quality Attributes , you know that we have been conducting a survey to find out key software architecture metrics that leading companies and software architects use. As quality of a software’s architecture is essential, yet very difficult to apprehend and measure.

Metrics 94
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ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

Netflix Tech

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Metrics 50
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Iterating Our Way Toward a Service Map

Honeycomb

If you’re unfamiliar, a service map is a graph-like visualization of your system architecture that shows all of its components and dependencies. For example, could we assume service graphs are mostly hierarchical? How often are service meshes, gateways, databases, and other system component types instrumented?

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ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

Netflix Tech

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Metrics 40