Providing high-fidelity, near real-time data is important for multi-armed bandit and RL models to converge quickly....

We discuss salient challenges of building a search experience for a streaming media service such as Netflix. We provide an overview of the role of recommendations within the search context to aid content discovery and support searches for unavailable (out-of-catalog) entities. We also stress the importance of keystroke-level Instant Search experience, and the technical challenges associated with implementing it across...

Learn more about how Netflix uses data science and analytics to improve the reliability, security and efficiency of...

In order to produce software that improves a scientist's productivity we have come up with the following design...

From living rooms in Bogota, to morning commutes in Tokyo, to beaches in Los Angeles and dorms in Berlin, Netflix...

Netflix has over 139M members streaming on more than half a billion devices spanning over 1,700 different types of devices from hundreds of brands. This diverse device ecosystem results in a high dimensionality feature space, often with sparse data, and can make identifying device performance issues challenging.

Describes the latest progress towards Netflix's open-source video quality assessment metric.

We’re developing a new product within the wider Experimentation Platform, to automate some aspects of the scientists...

Because treatments in streaming experimentation may have much larger impacts on high (or low) values of a given...

Is image and video coding dead? From the standpoint of application and relevance, video compression is very much alive and kicking and thriving on the internet.

Today, in partnership with Google, we have open sourced Kayenta, a platform for Automated Canary Analysis (ACA)....

Netflix has released hundreds of Originals and plans to spend $8 billion over the next year on content. Creators of...

One of the common questions we get asked is: “Why do we need machine learning to improve streaming quality?” This is...

Bad picture quality — blockiness, blurring, distorted faces and objects — can draw you out of that favorite TV show...

Video encoding has fueled academic research over the past 25 years and enabled compelling products and services. Many...

At Netflix, the Content Platform Engineering and Global Product Creative teams know that imagery plays an incredibly...

For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in...

The Netflix experience is powered by a family of ranking algorithms, each optimized for a different purpose. For...