Personalized Interfaces and the Arrival of Smart TV
In a world where content is available anywhere, at any time, users will consume more content if relevant and personalized... based on location, time, entourage, tastes and mood. The panel will talk through practical examples of using data to better match relevant content to users and increas…
Recommendation engines have boomed in the era of social media. These panelists are experts at collaborative filtering systems. Citing Digg, Amazon, and Netflix as examples, they will have a high level discussion about the evolution of recommendation engines and how each approach is different.