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 a computing system, tracking data based on video data for a game;
determining, by the computing system and using a prediction model, an artificial intelligence metric based on the tracking data;
generating, by the computing system, a graphic responsive to determining the artificial intelligence metric, wherein the graphic comprises the artificial intelligence metric and one or more artificial intelligence contextual features associated with a plurality of metadata tags;
outputting, by the computing system, a recommended plurality of images responsive to generating the graphic, wherein each of the recommended plurality of images includes at least one metadata tag of the plurality of metadata tags;
receiving, by the computing system and from a user, a selection of an image of the recommended plurality of images; and
generating, by the computing system, a visual element by merging the selected image with the graphic.
2 . The method of claim 1 , further comprising:
generating, by the computing system, a respective indication for each of the recommended plurality of images, the respective indication indicating how a respective image of the recommended plurality of images is relevant to the artificial intelligence metric.
3 . The method of claim 1 , wherein outputting, by the computing system, the recommended plurality of images responsive to generating the graphic, comprises:
outputting, by the computing system, a list including the recommended plurality of images responsive to generating the graphic.
4 . The method of claim 1 , further comprising:
outputting, by the computing system and using the prediction model, a recommended insight to be included in the visual element.
5 . The method of claim 4 , wherein the recommended insight includes a prediction of an outcome of the game.
6 . The method of claim 1 , wherein the artificial intelligence metric is a single number or a combination of numbers.
7 . The method of claim 1 , wherein one or more of the recommended plurality of images includes a probability of a win, an expected goal value, an expected possession value, or a visual of a possession sequence.
8 . The method of claim 1 , further comprising:
generating, by the computing system and using the prediction model, insights related to the artificial intelligence metric.
9 . A non-transitory computer readable medium comprising instructions that, when executed by one or more processors, cause a computing system to:
determine tracking data based on video data for a game;
determine, using a prediction model, an artificial intelligence metric based on the tracking data;
generate a graphic responsive to determining the artificial intelligence metric, wherein the graphic comprises the artificial intelligence metric and one or more artificial intelligence contextual features associated with a plurality of metadata tags;
output a recommended plurality of images responsive to generating the graphic, wherein each of the recommended plurality of images includes at least one metadata tag of the plurality of metadata tags;
receive, from a user, a selection of an image of the recommended plurality of images; and
generate a visual element by merging the selected image with the graphic.
10 . The non-transitory computer readable medium of claim 9 , wherein execution of the instructions further causes the computing system to:
generate a respective indication for each of the recommended plurality of images, the respective indication indicating how a respective image of the recommended plurality of images is relevant to the artificial intelligence metric.
11 . The non-transitory computer readable medium of claim 9 , wherein outputting the recommended plurality of images responsive to generating the graphic, comprises:
outputting a list including the recommended plurality of images responsive to generating the graphic.
12 . The non-transitory computer readable medium of claim 9 , wherein execution of the instructions further causes the computing system to:
output, using the prediction model, a recommended insight to be included in the visual element.
13 . The non-transitory computer readable medium of claim 12 , wherein the recommended insight includes a prediction of an outcome of the game.
14 . The non-transitory computer readable medium of claim 9 , wherein the artificial intelligence metric is a single number or a combination of numbers.
15 . The non-transitory computer readable medium of claim 9 , wherein one or more of the recommended plurality of images includes a probability of a win, an expected goal value, an expected possession value, or a visual of a possession sequence.
16 . The non-transitory computer readable medium of claim 9 , wherein execution of the instructions further causes the computing system to:
generate, using the prediction model, insights related to the artificial intelligence metric.
17 . A system, comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, cause the system to perform operations comprising:
determining tracking data based on video data for a game;
determining, using a prediction model, an artificial intelligence metric based on the tracking data;
generating a graphic responsive to determining the artificial intelligence metric, wherein the graphic comprises the artificial intelligence metric and one or more artificial intelligence contextual features associated with a plurality of metadata tags;
outputting a recommended plurality of images responsive to generating the graphic, wherein each of the recommended plurality of images includes at least one metadata tag of the plurality of metadata tags;
receiving, from a user, a selection of an image of the recommended plurality of images; and
generating a visual element by merging the selected image with the graphic.
18 . The system of claim 17 , wherein the operations further comprise:
generating a respective indication for each of the recommended plurality of images, the respective indication indicating how a respective image of the recommended plurality of images is relevant to the artificial intelligence metric.
19 . The system of claim 17 , wherein outputting the recommended plurality of images responsive to generating the graphic, comprises:
outputting a list including the recommended plurality of images responsive to generating the graphic.
20 . The system of claim 17 , wherein the operations further comprise:
outputting, using the prediction model, a recommended insight to be included in the visual element.