Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods, systems, computer readable media, and apparatuses are disclosed for providing event messages to a user. The event messages may include video data or a link to video of the event. In some variations, a user or content provider may define criteria for the event messages that are to be displayed to the user. The event messages may be stored so that a user may be able to browse through the stored event messages and decide when to view the video of the event. Upon a user's selection of the event message, the video of the event may be displayed to the user on the same display device or another display device.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods, systems, computer readable media, and apparatuses are disclosed for providing event messages to a user. The event messages may include video data or a link to video of the event. In some variations, a user or content provider may define criteria for the event messages that are to be displayed to the user. The event messages may be stored so that a user may be able to browse through the stored event messages and decide when to view the video of the event. Upon a user's selection of the event message, the video of the event may be displayed to the user on the same display device or another display device.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: According to some aspects described herein, content and service providers in a media delivery network may provide improved recommendations and/or personalize a user's experience based on the real-time activity of that user as well as other users. In this way, ever increasing amounts of content may be optimally managed in a way that provides users with the improved and/or personalized experience.

Abstract: According to some aspects described herein, content and service providers in a media delivery network may provide improved recommendations and/or personalize a user's experience based on the real-time activity of that user as well as other users. In this way, ever increasing amounts of content may be optimally managed in a way that provides users with the improved and/or personalized experience.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods, systems, computer readable media, and apparatuses are disclosed for providing event messages to a user. The event messages may include video data or a link to video of the event. In some variations, a user or content provider may define criteria for the event messages that are to be displayed to the user. The event messages may be stored so that a user may be able to browse through the stored event messages and decide when to view the video of the event. Upon a user's selection of the event message, the video of the event may be displayed to the user on the same display device or another display device.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods, systems, computer readable media, and apparatuses are disclosed for providing event messages to a user. The event messages may include video data or a link to video of the event. In some variations, a user or content provider may define criteria for the event messages that are to be displayed to the user. The event messages may be stored so that a user may be able to browse through the stored event messages and decide when to view the video of the event. Upon a user's selection of the event message, the video of the event may be displayed to the user on the same display device or another display device.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Systems and methods for transforming a similarity matrix used to generate content item recommendation lists are described. The system may determine a weight (used to transform the similarity matrix) sufficient to place one or more content items on the content item recommendation list or at a particular position on the recommendation list. The transformed similarity matrix may further be reduced in size, and content recommendations may be generated using the transformed or reduced similarity matrix.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Systems and methods for transforming a similarity matrix used to generate content item recommendation lists are described. The system may determine a weight (used to transform the similarity matrix) sufficient to place one or more content items on the content item recommendation list or at a particular position on the recommendation list. The transformed similarity matrix may further be reduced in size, and content recommendations may be generated using the transformed or reduced similarity matrix.

Abstract: According to some aspects described herein, content and service providers in a media delivery network may provide improved recommendations and/or personalize a user's experience based on the real-time activity of that user as well as other users. In this way, ever increasing amounts of content may be optimally managed in a way that provides users with the improved and/or personalized experience.