Intelligent prefetching of recommended-media content

1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method for prefetching recommended-game content based on a prefetch setting of a media platform, the method comprising:

receiving a recommendation profile comprising recommendation metrics for identifying recommended-game content, wherein the recommendation profile is associated with the media platform;

sending the recommendation profile to a recommendation engine, wherein the recommendation profile is used to identify the recommended-game content;

receiving a recommended-game record reciting the recommended-game content, wherein the recommended-game record is associated with the media platform;

determining, based on the prefetch setting for the media platform, how to automatically download the recommended-game content to the media platform, wherein the prefetch setting comprises parameters for downloading the recommended-game content, the parameters associated with at least one of scheduling, bandwidth, and capacity parameters of the media platform; and

downloading the recommended-game content based on the prefetch setting.

2. The media of claim 1 , further comprising sending recommendation metrics to a recommendation-metrics server, wherein recommendation metrics include at least usage of game content associated with the media platform;

receiving the recommendation profile generated based on the recommendation metrics, wherein the recommendation profile is associated with the media platform; and

sending the recommendation profile to the recommendation engine.

3. The media of claim 2 , wherein sending the recommendation metrics to the recommendation-metrics server is based on an occurrence of a game content consumption event.

4. The media of claim 2 , further comprising:

upon receiving the recommendation profile generated based on the recommendation metrics, updating the recommendation profile with real-time signals at the media platform, wherein the recommendation profile as received is associated with processed signals.

5. The media of claim 1 , further comprising:

upon an occurrence of a game content consumption event for the recommended-game content, sending recommendation metrics for the recommended-game content; and

receiving an updated recommended-profile such that a subsequent recommended-game content is based on an updated recommendation profile, wherein the updated recommended-profile includes updates based on recommendation metrics for the recommended-game content.

6. The media of claim 5 , wherein the game content consumption event includes at least an interaction with the recommended-game content that provides recommendation-metrics for the recommended-game content.

7. The media of claim 1 , further comprising identifying game content on the media platform such that the recommended-game content is downloaded in association with a game content.

8. The media of claim 7 , wherein the media platform is a video game console, the recommended-game content is a full version game, and the game content is a demo game.

9. The media of claim 1 , wherein the prefetch setting is a default setting or a customized setting.

10. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method for prefetching recommended-media content based on a prefetch setting, the method comprising:

receiving a recommendation profile comprising recommendation metrics for identifying recommended-media content;

generating a recommended-media record reciting recommended-media content that is generated based on the recommendation profile, wherein the recommended-media content is downloaded to a media platform based on determining the prefetch setting of the media platform, wherein the prefetch setting comprises parameters for downloading the recommended-media content, the parameters associated with at least one of scheduling, bandwidth, and capacity parameters of the media platform.

and wherein determining that the prefetch setting is a default setting results in automatically downloading the recommended-media content to the media platform and determining that the prefetch setting is a customized setting results in automatically downloading the recommended-media content based on the customized prefetch setting; and

sending the recommended-media record to the media platform.

11. The media of claim 10 , wherein the recommendation profile further comprises associations with additional recommendation profiles, wherein the additional recommendation profiles are used to generate the recommended-media content.

12. The media of claim 11 , wherein the additional recommendation profiles are associated with the recommendation profile based on a social network.

13. The media of claim 10 , wherein determining recommended-media content based on the recommendation profile further comprises analyzing social networking content associated with a user associated with the recommendation profile.

14. The media of claim 10 , wherein the recommendation profile further comprises previously recommended-media content such that determining recommended-media content is based at least in part on the previously recommended-media content.

15. The media of claim 10 , wherein the recommendation profile further comprises purchase history associated with the media platform or a user associated with the recommendation profile.

16. The media of claim 10 , further comprising:

receiving updated recommended-metrics associated with the recommended-media content downloaded to the media platform; and

updating the recommendation profile based on updated recommended-metrics such that a subsequent recommended-media content is based on an updated recommendation profile.

17. A method for prefetching a recommended-media content based on prefetch settings, the method comprising:

sending recommendation metrics to a recommendation-metrics server;

receiving a recommendation profile generated based on recommendation metrics, wherein the recommendation profile is associated with a media platform;

sending the recommendation profile to a recommendation engine;

receiving a recommended-media record reciting the recommended-media content, generated based on the recommendation profile, wherein the recommended-media record is associated with the media platform;

determining, based on the prefetch setting for the media platform, how to automatically download the recommended-media content to the media platform, wherein the prefetch setting comprises parameters for downloading the recommended-media content, the parameters associated with at least one of scheduling, bandwidth, and capacity parameters of the media platform, wherein a default prefetch setting results in, without user intervention, automatically downloading the recommended-media content to the media platform and a customized prefetch setting results in without user intervention, automatically downloading the recommended-media content based on the customized prefetch setting; and

downloading the recommended-media content based on the prefetch setting.

18. The method of claim 17 , further comprising upon receiving the recommendation profile generated based on the recommendation metrics, updating the recommendation profile with real-time signals at the media platform, wherein the recommendation profile as received is associated with processed signals.

19. The method of claim 17 , wherein the media platform is associated with an interface that controls the downloading of the recommended-media content, and wherein controlling the downloading includes actions selected from the following:

pausing the download of the recommended-media content;

resuming the download of the recommended-media content; and

deleting the download of the recommended-media content.

20. The method of claim 17 , further comprising:

sending the recommendation metrics for the recommended-media content; and

receiving an updated recommended-profile such that a subsequent recommended-media content is based on an updated recommendation profile, wherein the updated recommended-profile includes updates based on the recommendation metrics for the recommended-media content.