Content recommendations

1 . A method comprising:

determining favored characteristics of particular items of musical content from feedback collected from a user ( 304 );

identifying one or more other items of content, which are not music, that correspond to the favored characteristics ( 308 ); and

recommending the identified one or more other items of content to the user ( 310 ).

2 . A method as described in claim 1 , wherein the one or more other items of content include television programs, movies, video and images.

3 . A method as described in claim 1 , wherein:

one or more of the particular items of musical content are accessible by via a shared library by a plurality of clients of the user; and

the feedback was collected via the plurality of clients.

4 . A method as described in claim 1 , wherein the feedback includes ratings for the particular items of musical content.

5 . A method as described in claim 1 , wherein the feedback includes how often output of the particular items of musical content was requested, respectively.

6 . A method as described in claim 1 , wherein the characteristics are selected from a group consisting of:

artist;

time;

album;

song; and

genre.

7 . A method as described in claim 1 , wherein:

the feedback includes a star rating assigned to each of the particular items of musical content;

the one or more other items of content are television programs; and

the identifying is performed such that the one or more other items of content include one or more of the favored characteristics of the particular items of musical content.

8 . A system comprising:

a shared library ( 122 ) of content ( 116 ( c ), 120 ( k )) that is accessible by a plurality of clients ( 104 ( 1 )- 104 (N)) in a residential environment; and

one or more modules ( 110 ( 1 )- 100 (N)) that are executable to collect feedback regarding the content via the plurality of clients ( 104 ( 1 )- 104 (N)) and output one or more recommendations of other content based on favored characteristics identified by the feedback.

9 . A system as described in claim 8 , wherein the shared library of content includes music, television programs, games or movies.

10 . A system as described in claim 8 , wherein the one or more modules are executable to:

cause the feedback to be communicated over a network to a service that forms the one or more recommendations and

receive the one or more recommendations from the service via the network.

11 . A system as described in claim 8 , wherein the recommendation is configured to cause recordation of an item of content by one of the clients.

12 . A system as described in claim 8 , wherein the items of content in the shared library are music and the one or more recommendations identify one or more television programs.

13 . A system as described in claim 8 , wherein:

the shared library is formed by the plurality of clients;

each said clients is configured as a portable music player and is configured to share content stored by the client with another said client over a local network connection.

14 . A system as described in claim 8 , wherein the plurality of clients includes a computer and a set-top box.

15 . A computer-implemented method comprising:

receiving metadata from an image taken by a user over a network ( 506 );

identifying a general location from the metadata of where the image was taken by the user ( 508 ); and

making a recommendation based on the identified location ( 510 ).

16 . A computer-implemented method as described in claim 15 , wherein the recommendation identifies at least one other image taken at the general location.

17 . A computer-implemented method as described in claim 15 , wherein the recommendation pertains to an event that occurred at the general location.

18 . A computer-implemented method as described in claim 15 , wherein the recommendation identifies merchandise relating to the general location.

19 . A computer-implemented method as described in claim 15 , wherein the recommendation identifies one or more services that are available near the general location.

20 . A computer-implemented method as described in claim 15 , further comprising identifying a time at which the image was taken by the user and wherein the making of the recommendation is based on the identified location and the time.