Prismatic gets $15M to build a recommendation engine for the world

Prismatic, a San Francisco-based startup that uses machine-learning algorithms to recommend news and other content to users based on their social activity, has raised a $15-million Series A round from a star-studded group of investors including Accel Partners and Russian investor Yuri Milner.

Recommendation Is Still the Holy Grail For News

What news consumers really need is some way to filter all the information they can pull in and have new content recommended to them, but despite some new entrants like News360, social networks like Twitter and Facebook have so far proven to be the best solution.