Single Sign-On and Recommendation System developed by Broadcasters for Broadcasters
The right content at the right time for the right person on the right device – as broadcasters are faced with competition from multinational online-giants and looking for ways to efficiently increase reach and relevance, the European Broadcasting Union is working with its Members to give editorial teams a set of powerful tools to deliver relevant content to audiences.
Keeping control over the algorithms driving content delivery is key for Public Service Media, not only to maintain editorial independence and impartiality, but also to live up to the trust placed in them by the public in today's data-driven world.
To that end, Public Broadcasters RTS, BR and others have joined up around the EBU's PEACH project (Personalization for EACH), a working group applying InnerSource practices to co-develop the required solutions.
The team is in charge of developing three digital products:
- Recommendation Service
The Recommendation Service provides data acquisition, storage, algorithm computation and processing as well as endpoints for distribution of recommendations to end users. Impact of the recommendations can be monitored and analysed with the dashboard.
- Single Sign-On
The Single Sign-On service provides user account management and authentication on multiple platforms and devices. Having a single sign-on in place allows broadcasters to provide comprehensive personalized media experience across several devices to each of their users. Limited input devices are covered using the ETSI 103 407 Technical Specification. It allows the audience to authenticate with their account on online platforms, connected radios, HbbTV and voice user interfaces such as Amazon Echo (Alexa).
- Data Scientist Platform
The Data Scientist Platform empowers data scientists to explore data sets, quickly prototype recommendation algorithms, deploy them and then measure the impact. The algorithms are designed to respect the Public Service Media remit to inform, educate and entertain, and to avoid "filter bubbles" and other typical pitfalls of recommendation systems.
All PEACH products are flexible and customizable to allow any member to get on board, join the PEACH group and get started quickly and efficiently. The ecosystem is designed to support recommendation algorithms that can suit all types and genres of content (text, audio, video, etc) and allows data scientist to build bespoke recommendation algorithms and measure their performance without the need for specific data and engineering skills.