A computer-implemented system and method for building an implicit music recommendation is presented. Listening habits and selections of a recommender are monitored. A determination that the recommender has repeatedly listened to a particular music selection is made. A recommendation is generated for the repeated music selection. The recommendation is transmitted to one or more recipients on behalf of the recommender.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented system for building an implicit music recommendation, comprising: a watcher to monitor listening habits and selections of a recommender; a determination module to determine that the recommender has repeatedly listened to a particular music selection; a recommendation generator to generate a recommendation for the repeated music selection; and a delivery module to transmit, on behalf of the recommender, the recommendation to one or more recipients. 2. A system according to claim 1, further comprising: a recipient determination module to determine the recipients of the recommendation, comprising: a historical recipient module to identify previous recipients of other recommendations by the recommender; a recommendation comparison module to determine the other recommendations that are similar to the recommendation; and a recipient identification module to identify the previous recipients who received the similar other recommendations as the recipients. 3. A system according to claim 1, further comprising: a request module to request approval of the recommendation from the recommender; a receipt module to receive the approval of the recommendation; and the delivery module to send the recommendation upon receipt of the approval. 4. A system according to claim 1, further comprising: a tracking module to track the recommendation upon transmission to the recipients, comprising at least one of: a status assignment module to assign a status to the recommendation, wherein the status comprises one or more of “in transit,” “read,” “unread,” “discarded” and “purchased,” and maintaining a list of statuses for the recommendation; and a list module to maintain a recipient list for the recommendation. 5. A system according to claim 1, further comprising: an annotation module to receive from the recommender, an annotation for the recommendation and to associate the annotation with the recommendation. 6. A system according to claim 1, further comprising: an instruction receipt module to determine a trustworthiness of the recommender; and a display module to display the recommendation to the recipient based on a level of the trustworthiness. 7. A system according to claim 6, further comprising: a recommendation discard module to discard the recommendation when the trustworthiness is determined to be untrusted. 8. A system according to claim 1, further comprising: a recommendation matching module to match the recommendation with an upcoming event; and the delivery module to provide the event with the recommendation. 9. A system according to claim 1, further comprising: a recommender data module to associate information about the recommender with the recommendation. 10. A system according to claim 1, wherein the recommendation comprises at least one of a song title, limited excerpt of a song, single song, selection of songs, album, and music compilation. 11. A computer-implemented method for building an implicit music recommendation, comprising: monitoring listening habits and selections of a recommender; determining that the recommender has repeatedly listened to a particular music selection; generating a recommendation for the repeated music selection; and transmitting, on behalf of the recommender, the recommendation to one or more recipients. 12. A method according to claim 11, further comprising: determining the recipients of the recommendation, comprising: identifying previous recipients of other recommendations by the recommender; determining whether the other recommendations are similar to the recommendation; and identifying those previous recipients who received the similar other recommendations as the recipients. 13. A method according to claim 11, further comprising: requesting approval of the recommendation from the recommender; receiving the approval of the recommendation; and sending the recommendation upon receipt of the approval. 14. A method according to claim 11, further comprising: tracking the recommendation upon transmission to the recipients, comprising at least one of: assigning a status to the recommendation, wherein the status comprises one or more of “in transit,” “read,” “unread,” “discarded” and “purchased,” and maintaining a list of statuses for the recommendation; and maintaining a recipient list for the recommendation. 15. A method according to claim 11, further comprising: receiving from the recommender, an annotation for the recommendation; and associating the annotation with the recommendation. 16. A method according to claim 11, further comprising: determining a trustworthiness of the recommender; and displaying the recommendation within a display of the recipient based on a level of the trustworthiness. 17. A method according to claim 16, further comprising: discarding the recommendation when the trustworthiness is determined to be untrusted. 18. A method according to claim 11, further comprising: matching the recommendation with an upcoming event; and providing the event with the recommendation. 19. A method according to claim 11, further comprising: associating information about the recommender with the recommendation. 20. A method according to claim 11, wherein the recommendation comprises at least one of a song title, limited excerpt of a song, single song, selection of songs, album, and music compilation.