1. A method of recommending content to a first user by using second users in a peer-to-peer (P2P) network, the method comprising: receiving from the second users meta data regarding content belonging to the second users; detecting a plurality of pieces of recommended content similar to content that the first user is currently using, based on the received meta data; and outputting information regarding respective pieces of the detected recommended content, wherein the second users have a content preference similar to a content preference of the first user.