Sample labeling resource allocation method, device and application
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A resource allocation and sample labeling technology, applied in the field of data labeling, achieves the purpose and advantages of being concise and easy to understand, improving the overall speed and accuracy
Active Publication Date: 2022-06-28
杭州衡泰技术股份有限公司
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[0006] The embodiment of the present application provides a sample labeling resource allocation method, device and application, which can solve the problem of how to allocate labeling resources in the prior art. According to this solution, the labeling efficiency is also fast, and the labeling results in the review queue are getting more and more backlogged. Many features, by controlling the idleness of audit resources in the audit node, dynamically adjust the number of markers for each transaction sample, so as to achieve a dynamic balance between improving the accuracy of labeling and improving audit efficiency
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Embodiment 2
[0073] The present application also proposes a sample labeling resource allocation device, such as figure 2 shown, including:
[0074] The obtaining module 201 is used to obtain a sample set and a list of annotators.
[0075] The labeling module 202 is configured to preset the number of labels, and for any transaction sample in the sample set, select a number of labelers whose number is the preset label number from the labeler list to generate a labeler set, and assign it to each labeler set in the labeler set. An annotator makes an annotation and obtains an annotation result.
[0076] The time recording module 203 is used for recording the completion time of marking the transaction samples by all the marking staff, and taking the marking completion time at the latest time as the starting time for the marking result to enter the auditing node.
[0077] The calculation module 204 is configured to calculate the time interval between every two adjacent audit start times and th...
Embodiment 3
[0080] This embodiment also provides an electronic device, refer to image 3 , which includes a memory 304 and a processor 302, where a computer program is stored in the memory 304, and the processor 302 is configured to run the computer program to perform the steps in any of the above method embodiments.
[0081] Specifically, the above-mentioned processor 302 may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), or may be configured as one or more integrated circuits implementing the embodiments of the present application.
[0082] Among others, memory 304 may include mass storage 304 for data or instructions. By way of example and not limitation, the memory 304 may include a hard disk drive (Hard Disk Drive, abbreviated as HDD), a floppy disk drive, a solid state drive (Solid State Drive, abbreviated as SSD), flash memory, optical disc, magneto-optical disc, magnetic tape, or Universal Serial...
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Abstract
This application proposes a sample tagging resource allocation method, device and application. The number of taggers is preset. For any transaction sample in the sample set, multiple taggers with the preset number of taggers are selected from the tagger list to generate taggers. Collect and assign to each annotator in the annotator set to annotate to obtain the annotating result; record the annotating completion time of all annotators on the transaction samples, and take the latest annotating completion time as the audit start time when the annotating result enters the audit node; Calculate the time interval between two adjacent audit start times and the historical audit interval to obtain the idleness of audit resources; adjust the number of markers according to the idleness of audit resources, and re-generate markers for the remaining transaction samples based on the adjusted number of markers member assembly. Through the present invention, the allocation of sample labeling resources can be automatically performed based on various risk control rules, which replaces the existing manual screening method, so the accuracy and efficiency are higher.
Description
technical field [0001] The present application relates to the field of data labeling, and in particular, to a method, device and application for allocating sample labeling resources. Background technique [0002] Along with the rapid development of online financial business, while the related transaction volume has grown rapidly, abnormal transactions have also appeared more and more. Abnormal transactions not only cause huge losses to users themselves, but also seriously damage the financial order, damage the reputation of financial institutions, and have a very bad impact on society. [0003] At present, with the rapid development of artificial intelligence, the identification of abnormal transactions has gradually changed from manual identification to automatic model identification, and data labeling in model identification is a basic but highly important task. The labeling accuracy will directly affect the recognition accuracy of the model. The traditional labeling tas...
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