Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide for annotation of a media asset, such as an audio asset or a video asset, based on one or more events identified within content of the media asset. In particular, some embodiments can determine one or more of the following details with respect to content of a given media asset, which can represent annotations that enable determination of contextual information for the given media asset: events; event classification labels for events; subclassifications labels for events; scenes comprising events; attributes of scenes; themes presented by the content; and title-level attributes of the given media asset.

Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide generation and management operations of user response collection interfaces using machine learning technologies, including receiving a user input from a user interface of a device, the user input including data content that describes context of a media asset; using a machine learning model to generate analysis of the context of the media asset based on the data content; dynamically generating a question based on the analysis of the context of the media asset; and causing display of the question and the plurality of answers on the user interface of the device.

Abstract: Various embodiments described herein support or provide for annotation of a media asset, such as an audio asset or a video asset, based on one or more events identified within content of the media asset. In particular, some embodiments can determine one or more of the following details with respect to content of a given media asset, which can represent annotations that enable determination of contextual information for the given media asset: events; event classification labels for events; subclassifications labels for events; scenes comprising events; attributes of scenes; themes presented by the content; and title-level attributes of the given media asset.

Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.

Abstract: Various embodiments described herein support or provide for annotation of a media asset, such as an audio asset or a video asset, based on one or more events identified within content of the media asset. In particular, some embodiments can determine one or more of the following details with respect to content of a given media asset, which can represent annotations that enable determination of contextual information for the given media asset: events; event classification labels for events; subclassifications labels for events; scenes comprising events; attributes of scenes; themes presented by the content; and title-level attributes of the given media asset.

Abstract: Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.

Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide for content genome generation and management operations of a media asset, such as accessing content data of a media asset and a set of input cues associated with the media asset; identifying a set of elements based on the content data of the media asset and the set of input cues; assigning a set of weight values to the set of elements based on a priority rule; identifying one or more relevant elements from the set of elements based on a ranking of the set of weight values; analyzing the one or more relevant elements to generate a set of classified features based on a set of tags; and using a machine learning algorithm to generate a content genome of the media asset based on the set of classified features.

Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.

Abstract: Various embodiments described herein support or provide for cultural distance prediction operations of a media asset, such as determining events in a media asset, determining geographical region corresponding to the culture of origin and the culture of destination, accessing weight values of cultural attribute categories respectively associated with the geographical regions of the culture of origin and the culture of destination, generating cultural distance score of events, and causing display of the cultural distance score on a user interface of a client device.

Abstract: Various embodiments described herein support or provide for annotation of a media asset, such as an audio asset or a video asset, based on one or more events identified within content of the media asset. In particular, some embodiments can determine one or more of the following details with respect to content of a given media asset, which can represent annotations that enable determination of contextual information for the given media asset: events; event classification labels for events; subclassifications labels for events; scenes comprising events; attributes of scenes; themes presented by the content; and title-level attributes of the given media asset.

Abstract: Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.