MyMedia was an EU-funded collaborative research project which developed state-of-the art recommender algorithms.
Project from 2008 - 2010
What we are doing
The MyMedia project developed recommender algorithms for multimedia content and evaluated them in a series of field trials which addressed different application areas.
The addressed online catch-up services for TV and radio.
Why it matters
The large number of available channels and emergence of on-demand systems have created a "Crisis of Choice" for users. Successful broadcasters will be those who make it easy for users to find the content which is most likely to appeal to them.
Our Goals
- To help people find interesting TV and radio programmes
- to explore the potential value of user behaviour data
Outcomes
The MyMedia project improved our understanding of collaborative filtering systems and we gained valuable experience of how these can be applied within a broadcast environment. The algorithms developed by the project won several competitive events:
(CAMRa 2010)
These algorithms are now available in the Recommender System Library which started within the project and continues to be developed.
MyMedia also made contributions to the metadata standards concerning the capture of user feedback and the delivery of
How it works
The MyMedia algorithms use collaborative filtering, where personalised recommendations are obtained by analysing the collective behaviour of users.
Collaborative filtering provides good results but is difficult to implement in a broadcasting environment, where there is a constant flow of new content.
MyMedia addressed this issue by providing algorithms which support incremental updates.
