Entity cards including descriptive content relating to entities from a video

A computing device, comprising:

• a display device;
• one or more memories to store instructions;
• and
• one or more processors to execute the instructions stored in the one or more memories to perform operations, the operations including:
• receiving a video;
• implementing one or more machine-learned models to:
• identify a plurality of entities from the video, wherein the one or more machine-learned models are trained to identify a training entity from a training video based on at least one of a number of times the training entity is mentioned in the training video, a relevance of the training entity to a topic in the training video, or a number of times the training entity appears across a corpus of training videos,
• rank the plurality of entities, wherein the one or more machine-learned models are trained to rank the training entity identified in the training video based on at least one of a likelihood that the training entity is to be searched for when the training video is viewed, the number of times the training entity is mentioned in the training video, the relevance of the training entity to the topic in the training video, or the number of times the training entity appears across the corpus of training videos, and
• generate, based on the rank of the plurality of entities, a first entity card which includes descriptive content relating to a first entity from among the plurality of entities, wherein the first entity corresponds to one or more entities which are ranked highest among the plurality of entities;
• providing, for presentation on a display device, the video;
• and
• providing, for presentation on the display device while the video is being played, the first entity card, in response to the first entity being mentioned in the video.

A non-transitory computer readable medium storing instructions which, when executed by a processor, cause the processor to perform operations, the operations comprising:

• receiving a video;
• implementing one or more machine-learned models to:
• identify a plurality of entities from the video, wherein the one or more machine-learned models are trained to identify a training entity from a training video based on at least one of a number of times the training entity is mentioned in the training video, a relevance of the training entity to a topic in the training video, or a number of times the training entity appears across a corpus of training videos,
• rank the plurality of entities, wherein the one or more machine-learned models are trained to rank the training entity identified in the training video based on at least one of a likelihood that the training entity is to be searched for when the training video is viewed, the number of times the training entity is mentioned in the training video, the relevance of the training entity to the topic in the training video, or the number of times the training entity appears across the corpus of training videos and
• generate, based on the rank of the plurality of entities, a first entity card which includes descriptive content relating to a first entity from among the plurality of entities, wherein the first entity corresponds to one or more entities which are ranked highest among the plurality of entities;
• providing, for presentation on a display device, the video;
• and
• providing, for presentation on the display device while the video is being played, the first entity card, in response to the first entity being mentioned in the video.