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Model-based task allocation method and device, computer equipment and storage medium

A task allocation and model technology, applied in the field of artificial intelligence, can solve the problems of low allocation accuracy, high task allocation difficulty, and low allocation efficiency, and achieve the effect of increasing success rate, improving allocation efficiency and allocation accuracy

Pending Publication Date: 2020-12-04
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a model-based task allocation method, device, computer equipment and storage media, aiming to solve the problems of high task allocation difficulty, low allocation efficiency, and low allocation accuracy in the existing task allocation methods about agents technical issues

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  • Model-based task allocation method and device, computer equipment and storage medium
  • Model-based task allocation method and device, computer equipment and storage medium
  • Model-based task allocation method and device, computer equipment and storage medium

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Embodiment Construction

[0056] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0057]Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Additionally, "connected" or "coupled" as used herein may include wireless connect...

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Abstract

The invention relates to artificial intelligence, and provides a model-based task allocation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining agent feature information corresponding to a specified agent which is a agent in a to-be-allocated task state at present; inputting the agent feature information into a preset prediction model, generating a prediction task type corresponding to the agent feature information, wherein the prediction model is generated after a preset naive Bayes classifier is trained according to pre-collected sampledata; judging whether a to-be-processed task corresponding to the predicted task type exists in a preset task pool or not; if yes, screening out a specified task from the to-be-processed tasks according to a preset rule; and allocating the specified task to the specified agent. According to the application, the allocation efficiency and allocation accuracy of task scheduling of the agent can be effectively improved. The invention further relates to the field of block chains, and the prediction model can be stored in the block chain.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a model-based task assignment method, device, computer equipment and storage medium. Background technique [0002] The existing assignment of tasks to agents is completely artificially assigned randomly by the call center. This method of artificially assigning tasks is a low-efficiency and low-precision assignment method, which is time-consuming and labor-intensive. It is impossible to ensure whether the assigned tasks are suitable for the current situation It is impossible to judge whether the current agent has the ability to handle the task assigned this time. If the task assigned to the current agent does not match its own ability, it will easily lead to the situation that the current agent has difficulty handling the task and the task failure rate is high. Therefore, the inventor realizes that the existing task allocation method for agents has the p...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/10G06K9/62
CPCG06Q10/04G06Q10/06311G06Q50/10G06F18/24155G06F18/214
Inventor 张峥超
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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