This thesis tackles the problem of discovering music for users in a social network, introducing the concept of social shuffle and its implementation as a live experiment in social based recommendation, Starnet, and show that recommendations based on a user’s social network is strongly effective in introducing a user to new music that she enjoys. I investigate the generation of tag clouds...