Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Content recommendations are described. In an implementation, feedback collected from a user is used to determine favored characteristics of particular items of musical content. One or more other items of content, which are not music, are identified that correspond to the favored characteristics. The identified one or more other items of content are recommended to the user.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Content ratings and recommendations is described. In an embodiment, a ratings service compiles ratings of programs for a rating system that is associated with a group of viewers, where a viewer of the group establishes the rating system, and where at least some of the viewers of the group rate the programs for the group of viewers. A recommendation service then provides program recommendations to the viewers of the group based on the rating system.

Abstract: A list navigation module (LNM) is described that allows a user to navigate among a filtered list of items, yet, in addition, also discover items within an original list items. In operation, a user inputs a search selection, which prompts the LNM to cull a filtered list of items from the original set of items. When the user enters navigation selections of a first kind, the LNM advances to only items in the filtered list. When the user enters navigation selections of a second kind, the LNM advances to items in the unfiltered original list. Further, when the user attempts to navigate past an end of the presented filtered list, the LNM advances to items in the unfiltered original list. The LNM can provide a visual indicator which conveys that one or more items in the original list of items do not appear in the filtered list of items.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Recommendations from social networks is described. In embodiment(s), communications data that is representative of communications between users of client devices can be collected. The communications data can then be evaluated to associate the users that communicate with each other, and a social network can be created that includes the associated users. Media content data that is representative of media content utilized by the associated users in the social network can be complied. A media content recommendation for a user can then be generated based on the compiled media content data for the associated users in the social network.

Abstract: Techniques involving content commentaries are described. In an implementation, a commentary is made at a client during output of content. The commentary is to be output concurrently with a subsequent output of the content. A communication is formed that includes the commentary to be communicated over a network such that the commentary is available to be output at another client.

Abstract: Content recommendations are described. In an implementation, feedback collected from a user is used to determine favored characteristics of particular items of musical content. One or more other items of content, which are not music, are identified that correspond to the favored characteristics. The identified one or more other items of content are recommended to the user.

Abstract: A list navigation module (LNM) is described that allows a user to navigate among a filtered list of items, yet, in addition, also discover items within an original list items. In operation, a user inputs a search selection, which prompts the LNM to cull a filtered list of items from the original set of items. When the user enters navigation selections of a first kind, the LNM advances to only items in the filtered list. When the user enters navigation selections of a second kind, the LNM advances to items in the unfiltered original list. Further, when the user attempts to navigate past an end of the presented filtered list, the LNM advances to items in the unfiltered original list. The LNM can provide a visual indicator which conveys that one or more items in the original list of items do not appear in the filtered list of items.

Abstract: Related media content assets is described. In an embodiment, an index of media content assets which are associated with defining attributes can be maintained. At least some of the media content assets in the index can have in common one or more of the defining attributes. The media content assets in the index can be related based on the defining attributes. A request can be received from a client device for related media content assets which are related to a selected media content asset playing at the client device. The request can be processed to identify one or more defining attributes of the selected media content asset, and to identify the related media content assets in the index which have in common the one or more defining attributes of the selected media content asset. Identifiers of the related media content assets can be communicated to the client device.