RECOMMENDATION ENGINE FOR COMBINING IMAGES AND GRAPHICS OF SPORTS CONTENT BASED ON ARTIFICIAL INTELLIGENCE GENERATED GAME METRICS
A computing system receives data for a game. The data includes at least one of tracking data or event data. Based on the data for the game, the computing system determines that an event has occurred within the game. Based on the determining, the computing system generates a graphic responsive to the event. The graphic includes insights related to the event. The computing system recommends an image relevant to the event based on metatags associated with the event. The computing system generates a visual element by merging the image and the graphic.
1 . A method comprising:
determining, by an organization computing system, that an event has occurred within a game based on data for the game;
generating, by the organization computing system and based on the determining, a graphic responsive to the event, wherein the graphic comprises insights related to the event;
outputting, by the organization computing system, a recommended plurality of images relevant to the event based on metatags associated with the recommended plurality of images, responsive to generating the graphic;
receiving, by the organization computing system and from a user, a selection of an image of the recommended plurality of images; and
generating, by the organization computing system, a visual element for display on a client device by merging the selected image with the graphic.
2 . The method of claim 1 , further comprising:
generating, by the organization computing system, a respective indication for each of the recommended plurality of images, the respective indication indicating the relevance of a respective image of the recommended plurality of images to the event.
3 . The method of claim 1 , wherein outputting, by the organization computing system, the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic, comprises:
outputting, by the organization computing system, a list including the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic.
4 . The method of claim 1 , further comprising:
outputting, by the organization computing system, a recommended insight or recommended artificial intelligence metric based on the event.
5 . The method of claim 4 , wherein the recommended insight or the recommended artificial intelligence metric is one of a single number, a combination of numbers, or a visualization of a key play.
6 . The method of claim 1 , wherein outputting, by the organization computing system, the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic, comprises:
identifying contextual features of the insights related to the event; and
mapping the contextual features to the metatags associated with the recommended plurality of images.
7 . The method of claim 1 , further comprising:
generating, by one or more prediction models of the organization computing system, the insights related to the event based on the data for the game.
8 . The method of claim 1 , further comprising:
presenting, by the organization computing system, the insights related to the event to the user; and
receiving, by the organization computing system, a selection of at least one of the insights for inclusion in the visual element.
9 . The method of claim 1 , wherein the data for the game includes at least one of tracking data or event data.
10 . A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by one or more processors, causes an organization computing system to perform operations comprising:
determining, by the organization computing system, that an event has occurred within a game based on data for the game;
generating, by the organization computing system and based on the determining, a graphic responsive to the event, wherein the graphic comprises insights related to the event;
outputting, by the organization computing system, a recommended plurality of images relevant to the event based on metatags associated with the recommended plurality of images, responsive to generating the graphic;
receiving, by the organization computing system and from a user, a selection of an image of the recommended plurality of images; and
generating, by the organization computing system, a visual element for display on a client device by merging the selected image with the graphic.
11 . The non-transitory computer readable medium of claim 10 , wherein the operations further comprise:
generating, by the organization computing system, a respective indication for each of the recommended plurality of images, the respective indication indicating the relevance of a respective image of the recommended plurality of images to the event.
12 . The non-transitory computer readable medium of claim 10 , wherein outputting, by the organization computing system, the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic, comprises:
outputting, by the organization computing system, a list including the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic.
13 . The non-transitory computer readable medium of claim 10 , wherein the operations further comprise:
outputting, by the organization computing system, a recommended insight or recommended artificial intelligence metric based on the event.
14 . The non-transitory computer readable medium of claim 13 , wherein the recommended insight or the recommended artificial intelligence metric is one of a single number, a combination of numbers, or a visualization of a key play.
15 . The non-transitory computer readable medium of claim 10 , wherein outputting, by the organization computing system, the recommended plurality of images relevant to the event based on the metatags associated with the recommended plurality of images, responsive to generating the graphic, comprises:
identifying contextual features of the insights related to the event; and
mapping the contextual features to the metatags associated with the recommended plurality of images.
16 . The non-transitory computer readable medium of claim 10 , wherein the operations further comprise:
generating, by one or more prediction models of the organization computing system, the insights related to the event based on the data for the game.
17 . The non-transitory computer readable medium of claim 10 , wherein the operations further comprise:
presenting, by the organization computing system, the insights related to the event to the user; and
receiving, by the organization computing system, a selection of at least one of the insights for inclusion in the visual element.
18 . The non-transitory computer readable medium of claim 10 , wherein the data for the game includes at least one of tracking data or event data.
19 . An organization computing system, comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes the organization computing system to perform operations comprising:
determining that an event has occurred within a game based on data for the game;
generating, based on the determining, a graphic responsive to the event, wherein the graphic comprises insights related to the event;
outputting a recommended plurality of images relevant to the event based on metatags associated with the recommended plurality of images, responsive to generating the graphic;
receiving, from a user, a selection of an image of the recommended plurality of images; and
generating a visual element for display on a client device by merging the selected image with the graphic.
20 . The organization computing system of claim 19 , wherein the operations further comprise:
generating a respective indication for each of the recommended plurality of images, the respective indication indicating the relevance of a respective image of the recommended plurality of images to the event.