Method and system for providing a prioritization recommendation for a set of tasks
AssigneeJPMorgan Chase Bank, N.A.
InventorVinayak Kulkarni
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Abstract
A method and a system for providing a task prioritization recommendation for a set of tasks on a set of user devices are disclosed. The method includes: receiving, by a processor, first information related to a failure of the set of tasks; retrieving, by the processor, a set of target parameters related to the failure of the set of tasks; analyzing, by the processor using an artificial intelligence-based module, the first information related to the failure of the set of tasks and the set of target parameters; generating, by the processor, a composite score for the set of tasks based on the analysis; and providing, by the processor on the set of user devices, the task prioritization recommendation based on the composite score.
Claims15
A method for providing a task prioritization recommendation for a set of tasks on a set of user devices, the method being implemented by at least one processor, the method comprising:
- receiving, by the at least one processor via a communication interface, first information related to a failure of the set of tasks, from a set of task settlement platforms;
- retrieving, by the at least one processor from a memory, a set of target parameters related to the failure of the set of tasks;
- analyzing, by the at least one processor using an artificial intelligence-based module, the first information related to the failure of the set of tasks and the set of target parameters;
- generating, by the at least one processor, a composite score for the set of tasks based on the analysis of the first information related to the failure of the set of tasks and the set of target parameters;
- and providing, by the at least one processor on the set of user devices, the task prioritization recommendation for the set of tasks based on the composite score for the set of tasks,
- wherein the analyzing of the first information related to the failure of the set of tasks and the set of target parameters comprises:
- assigning a respective weight to each respective target parameter included in the set of target parameters based on at least one from among a set of market conditions and the first information related to the failure of the set of tasks,
- assigning a respective priority value to said each respective target parameter included in the set of target parameters based on the respective weight assigned to said each respective target parameter included in the set of target parameters, and
- determining a respective score factor for said each respective target parameter included in the set of target parameters based on the respective priority value of said each respective target parameter included in the set of target parameters.
A computing device for providing a task prioritization recommendation for a set of tasks on a set of user devices, the computing device comprising:
- a processor;
- a memory;
- and
- a communication interface coupled to each of the processor and the memory, wherein the processor is configured to:
- receive, via the communication interface, first information related to a failure of the set of tasks, from a set of task settlement platforms,
- retrieve, from the memory, a set of target parameters related to the failure of the set of tasks,
- analyze, using an artificial intelligence-based module, the first information related to the failure of the set of tasks and the set of target parameters,
- generate a composite score for the set of tasks based on the analysis of the first information related to the failure of the set of tasks and the set of target parameters, and
- provide, on the set of user devices, the task prioritization recommendation for the set of tasks based on the composite score for the set of tasks,
- wherein to analyze the first information related to the failure of the set of tasks and the set of target parameters, the processor is further configured to:
- assign a respective weight to each respective target parameter included in the set of target parameters based on at least one from among a set of market conditions and the first information related to the failure of the set of tasks,
- assign a respective priority value to said each respective target parameter included in the set of target parameters based on the respective weight assigned to said each respective target parameter included in the set of target parameters, and
- determine a respective score factor for said each respective target parameter included in the set of target parameters based on the respective priority value of said each respective target parameter included in the set of target parameters.
A non-transitory computer readable storage medium storing instructions for providing a task prioritization recommendation for a set of tasks on a set of user devices, the storage medium comprising executable code which, when executed by a processor, causes the processor to:
- receive, via a communication interface, first information related to a failure of the set of tasks, from a set of task settlement platforms;
- retrieve, from a memory, a set of target parameters related to the failure of the set of tasks;
- analyze, using an artificial intelligence-based module, the first information related to the failure of the set of tasks and the set of target parameters;
- generate a composite score for the set of tasks based on the analysis of the first information related to the failure of the set of tasks and the set of target parameters;
- and
- provide, on the set of user devices, the task prioritization recommendation for the set of tasks based on the composite score for the set of tasks,
- wherein to analyze the first information related to the failure of the set of tasks and the set of target parameters when executed by the processor, the executable code further causes the processor to:
- assign a respective weight to each respective target parameter included in the set of target parameters based on at least one from among a set of market conditions and the first information related to the failure of the set of tasks,
- assign a respective priority value to said each respective target parameter included in the set of target parameters based on the respective weight assigned to said each respective target parameter included in the set of target parameters, and
- determine a respective score factor for said each respective target parameter included in the set of target parameters based on the respective priority value of said each respective target parameter included in the set of target parameters.
Dependencies are inferred from the claim text.