Resource allocation method and device based on artificial intelligence, electronic equipment and medium

A technology of resource allocation and artificial intelligence, applied in the field of resource allocation based on artificial intelligence, can solve problems such as poor labeling quality, uneven difficulty of resources to be labeled, failure to consider labeler preferences and professional level differences, etc., to improve accuracy , Improve the prediction accuracy, improve the effect of allocation accuracy
CN113570286AActive Publication Date: 2021-10-29PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Publication Date
2021-10-29

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a resource allocation method and device based on artificial intelligence, electronic equipment and a medium, and the method comprises the steps: extracting a capability label of a tagger from a tagger portrait, and when determining to allocate a plurality of to-be-tagged resources, classifying each to-be-tagged resource to obtain a category, therefore, difficulty prediction is carried out on each to-be-labeled resource based on the category to obtain the labeling difficulty, the prediction accuracy of the labeling difficulty is improved, then a labeling model is established based on the multiple capability labels and the multiple labeling difficulties, convex optimization solution is carried out on the labeling model, and the labeling model with known labeling parameters is obtained. And finally, on the basis of a labeling model with known labeling parameters, the labeling accuracy of each labeling person on the to-be-labeled resources can be calculated, so that the to-be-labeled resources are allocated on the basis of the labeling accuracy. According to the method and the device, the capability label of the tagger is matched with the tagging difficulty of the to-be-tagged resource, so that the accuracy of tagging the to-be-tagged resource is improved.
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Description

technical field

[0001] The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based resource allocation method, device, electronic equipment and medium. Background technique

[0002] Crowdsourcing refers to the practice that a company or organization outsources the work tasks performed by employees in the past to a non-specific public network in a free and voluntary manner. The tasks of crowdsourcing are usually undertaken by individuals, but the distribution of crowdsourcing tasks is urgently needed. solved problem.

[0003] In the process of implementing the present invention, the inventors found that in common crowdsourcing tagging systems, the taggers' acquisition tasks are often randomly generated. However, the random generation method does not take into account the annotator's preference and professional level differences, and the difficulty of the resources to be annotated is also uneven. It is eas...

Claims

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