Task point denoising classification method, system, terminal device and storage medium

A classification method and task point technology, applied in the field of artificial intelligence, can solve problems such as difficult market survey tasks and irregular classification of task points, so as to improve the execution success rate and task processing speed and efficiency, and reduce human subjective factors The effect of improving the accuracy

Active Publication Date: 2021-11-16
WUHAN POLYTECHNIC UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a task point denoising and classification method, system, terminal equipment and storage medium, aiming to solve the technical problem in the prior art that the task point classification is irregular and the market research task is difficult to complete

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  • Task point denoising classification method, system, terminal device and storage medium
  • Task point denoising classification method, system, terminal device and storage medium
  • Task point denoising classification method, system, terminal device and storage medium

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Embodiment Construction

[0047] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] The solution of the embodiment of the present invention is mainly as follows: by performing noise removal on the initial task point distribution map, the initial task point distribution map after noise removal is used as the task point distribution map to be processed; Traversing, obtaining the number of task points that the traversed current initial task point corresponds to other task points within a preset range, the preset range is centered on the current initial task point, and a range determined by a preset length as a radius; Select the target task point whose quantity of task points is greater than the preset quantity threshold from the initial task point, and use the target task point after removing the non-central point in the target task point as the initial center point; each initial center point is ...

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Abstract

The invention discloses a task point denoising classification method, system, terminal equipment and storage medium. By traversing the initial task points in the task point distribution map to be processed, the traversed current initial task points correspond to other tasks within the preset range. The number of task points of the task point, select the target task point whose number of task points is greater than the preset number threshold from the initial task point as the initial center point; each initial center point is regarded as a category respectively, and each initial task point and each The target distance of the initial center point, and use the shortest target distance as the clustering condition to cluster each initial task point to realize the classification of the initial task point, which can reduce the influence of human subjective factors and improve the accuracy of task point classification. Accuracy, which in turn improves the execution success rate of market research tasks and the processing speed and efficiency of tasks, and can achieve the expected effect of product market research and improve user experience.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a task point denoising classification method, system, terminal equipment and storage medium. Background technique [0002] With the rapid development of the economy, enterprises need to understand the unpredictable market to determine whether the products produced by the enterprise meet the consumption desires of consumers, or to understand whether consumers have the motivation to buy the products of the enterprise, and market research is the key point of the enterprise. Commonly used methods to understand the market. [0003] The behavior of "taking pictures" at the mission point and making profits cleverly uses mobile Internet technology to conduct market research. Users need to download an application (Application, APP), and after obtaining the corresponding product information at the corresponding location, they can receive the reward corresponding to the task....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06K9/40G06K9/62
CPCG06Q30/0201G06Q30/0203G06V10/30G06F18/2321
Inventor 杨雨刘江蓉周康高婧刘朔祁华清贾世煜江法霖刘志伟姚钊尹明君
Owner WUHAN POLYTECHNIC UNIVERSITY
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