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recommendation engine
About this tag
The recommendation engine tag covers discussions about implementing and using recommendation systems, particularly Microsoft's Azure Machine Learning Recommendations API. Content includes how Channel 9 integrated this service to power video and session recommendations based on usage data. Topics involve building recommendation models, improving over older algorithms, and leveraging Azure's machine learning capabilities for personalized content delivery. The tag is relevant for developers and IT professionals working with recommendation systems in a Microsoft Azure environment.
A New Chapter in Streaming Innovation
Netflix is stepping up its game with an AI-driven search experience that promises to transform the way users discover content. In a bold move that marries advanced artificial intelligence with user-oriented design, Netflix is piloting an OpenAI-powered...
ai
ai features
artificial intelligence
content curation
content navigation
content search
digital innovation
entertainment technology
machine learning
media discovery
natural language processing
netflix
openai
personalization
recommendationengine
streaming
user experience
You may have noticed a link to that appears next to any recommended entries or sessions:
Link Removed
This is because we have implemented the Link Removed. Now, whenever you see recommended videos to watch (which appears at the end of each video as well as in a sidebar on each video's page)...
api
cache
catalog
channel 9
concurrent processing
data anonymization
data management
data upload
data usage
json
machine learning
microsoft azure
model
recommendationenginerecommendations
service implementation
user interface
video content
webjobs
xml