Interesting application from Microsoft Research FUSE Labs called Project Emporia Mobile. A “personalized mobile news reader.”
In their words…
Every day we face information overflow: News is coming at us through so many channels that it is difficult to weed out the gems that are important to us from all the noise. Project Emporia offers a solution to this by introducing feedback into the news reading experience. When users read stories through Project Emporia, they can vote “more like this” or “less like this” to instantly personalize their news reading experience.
Our 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.