The widespread of collaborative tagging and reviewing sites got us
thinking about how to reconsider recommendations in the presence of
people, tags, ratings and implicit and explicit social ties. We explore
socially-aware recommendations which is defined as searching for
information endorsed by people who matter to the user. In that context,
discuss preliminary results on socially meaningful recommendations and
on how social-awareness can be used to organize data more efficiently by
clustering people on common behavior. We conclude with an overview of
Royal Jelly, a socially-aware recommender system which is under
construction at Yahoo! Research.