Attention Profiling for smarter web services

Attention profiling is a technique for syndicating learned user attention data between web services to help highlight interesting content and filter out uninteresting items. It works by tracking what users do on sites like Digg, last.fm, and Delicious and turning that into usable attention data that can then be syndicated between sites. Open source frameworks like Midgard and Apache Mahout make it easy for services to support attention profiling and learn from user behavior to better serve users while respecting their privacy.