Task data processing method, apparatus, readable storage medium and electronic device

Abstract

The embodiment of the present invention discloses a task data processing method, device, readable storage medium and electronic device. By determining the current pressure attribute of the target object and the matching feature value of each task information corresponding to the target object, the target is determined according to the current pressure attribute. Diffusion threshold, and then assign each task information according to the target diffusion threshold and the matching feature value of each task information. The embodiment of the present invention can dynamically determine the target diffusion threshold for task classification according to the current pressure condition of the target object, so as to distribute the classified task information through different distribution methods, so as to ensure the task connection of the target object corresponding to the task information. The starting rate further improves the task processing efficiency of the system.

Description

technical field [0001] The present invention relates to the field of computer technology, and in particular, to a task data processing method, apparatus, readable storage medium and electronic device. Background technique [0002] At present, in the process of task processing in the Internet field, the task scheduling platform will classify the acquired tasks, so as to allocate tasks for each type of tasks in different ways. However, in the actual application process, the task scheduling platform's classification rules for tasks are preset rules, which cannot be flexibly adjusted in the face of different task situations. Therefore, in the case of a sudden increase in the amount of tasks and a sharp increase in the difficulty of task processing, due to the use of the task allocation rules in the normal state, the probability of the task being picked up will be reduced, which will affect the overall task processing efficiency of the system. SUMMARY OF THE INVENTION [0003]...

AI Technical Summary

Problems solved by technology

However, in the actual application process, the task scheduling platform's classification rules for tasks are pre-set rules, which cannot be flexibly adjusted in the face of different task situations

Therefore, in the case of special situations such as a sudden increase in the amount of tasks and a sharp increase in the difficulty of task processing, the probability of tasks being picked up will decrease due to the use of the task allocation rules in the normal state, which will affect the overall task processing efficiency of the system

Images