Tagged with: Personalisation, Recommendations and Content Discovery
Posts (20)
-
Introducing machine-based video recommendations in ΒιΆΉΤΌΕΔ Sport
Robert Heap
Executive Product Manager, ΒιΆΉΤΌΕΔ Sport
Rob Heap explains how algorithm-based recommendations are saving time in production
-
Philip 21 - an interactive story exploring race, love and modern Britain
Joey Amoah
Development Producer
An object-based media experience - a story of a date with a young black man, turned into an introspective examination of race, love and modern Britain. Here are the techniques and mechanics underpinning this and other branching narrative experiences, examining how they keep audiences engaged.
-
Building a WebAssembly Runtime for ΒιΆΉΤΌΕΔ iPlayer and enhanced audience experiences
Juliette Carter
Research Engineer, ΒιΆΉΤΌΕΔ R&D
How WebAssembly is being rolled out to different ΒιΆΉΤΌΕΔ platforms.
-
The complexities of creating a new 'follow topic' capability
Dave Lee
Senior Architect, ΒιΆΉΤΌΕΔ ΒιΆΉΤΌΕΔ
The background to creating a 'follow' functionality for ΒιΆΉΤΌΕΔ topics.
-
Me, you and the machine
Matthew Postgate
Chief Technology and Product Officer, ΒιΆΉΤΌΕΔ D&E
The ΒιΆΉΤΌΕΔ's Chief Technology and Product Officer explains how the corporation can benefit from Machine Learning.
-
How metadata will drive content discovery for the ΒιΆΉΤΌΕΔ online
Jonathan Murphy and Jeremy Tarling
Digital Publishing, Design & Engineering
How metadata will be at the heart a new content discovery strategy.
-
Understanding public service curation: What do βgoodβ recommendations look like?
Anna McGovern
Executive Producer, Recommendations
Examining the qualities required to create good recommendations for the ΒιΆΉΤΌΕΔ's digital content.
-
Scaling responsible machine learning at the ΒιΆΉΤΌΕΔ
Gabriel Straub
Head of Data Science and Architecture, ΒιΆΉΤΌΕΔ D&E
How the ΒιΆΉΤΌΕΔ's public service principles are being applied to machine learning.
-
Navigating the data ecosystem technology landscape
Hannes Ricklefs, Max Leonard
ΒιΆΉΤΌΕΔ Design and Engineering
The challenges of creating an open and transparent data ecosystem for the ΒιΆΉΤΌΕΔ.
-
Machine learning and editorial collaboration within the ΒιΆΉΤΌΕΔ
Anna McGovern, Ewan Nicolson, Svetlana Videnova
Datalab team
Datalab team members explain how the best machine learning results will come from a multi-disciplined approach.
