Project Emporia is an alpha project from Microsoft Research Cambridge FUSE Labs which offers a solution to information overflow by introducing feedback into the news reading experience.
News comes at us through so many channels that it is difficult to weed out the gems that are important to us from all the noise.
The goal with Project Emporia is to create the most personalized content-based news reading experience for the real-time web based on the Matchbox recommender technology developed at Microsoft Research.
The key features are that Project Emporia
– Learns relevance of news stories based on explicit more/less feedback by users.
– Predicts relevance of news stories to filter down all news from the last 24 hours.
– Provides a quick news overview across categories in the Top Stories view.
– Personalizes the news reading experience with custom channels.