Patent ID: 11954030
Assignee: BANK OF AMERICA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 18:
19. A method comprising:
at a computing device comprising at least one processor, a communication interface, and memory:
training, based on historical complexity score information, a machine learning model to output complexity score information in response to input of interaction information;
receiving, from a client metaverse device, a first information stream, wherein the first information stream comprises user-specific interaction information;
receiving, from a first metaverse host system, a second information stream, wherein the second information stream comprises interaction information between the user and a metaverse environment;
inputting the first information stream and the second information stream, into the machine learning model to output a complexity score;
comparing the complexity score to one or more complexity thresholds, wherein:
the one or more complexity thresholds define threshold ranges, and
stored caching rules correspond to each threshold range;

identifying, based on the comparison, caching rules corresponding to the complexity score;
caching interaction information between the user and the metaverse environment based on the identified caching rules; and
refining, based on inputting the complexity score and interaction information, the machine learning model.