Dan Carroll presented on social recommendations, which use social relationships to provide more relevant recommendations than traditional search engines. Social recommendations assume friends and connections are trusted sources of information. They can enhance access-based recommenders or create new experiences. Current efforts include YouTube, Facebook, and StumbleUpon, but an initiative tying together social graphs and relationships across sites could provide more personalized recommendations. Social Media Recommendation (SoMR) is an API and algorithm to generate recommendations based on social relevance to provide superior content and user experiences.