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Order remark label determination method and device, storage medium and computer equipment

A determination method and computer program technology, applied in the direction of calculation, calculation model, machine learning, etc., can solve the problems of high human subjectivity, order cancellation, low recall rate, etc., to reduce human subjective factors, easy iterative update, and improve accuracy rate effect

Pending Publication Date: 2022-01-28
深圳依时货拉拉科技有限公司
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Problems solved by technology

However, this method has a low recall rate and high manual subjectivity. The overlapping keywords between tags will affect the recognition accuracy, making it difficult to update and iterate. It is easy to cancel the order due to the mismatch between the user's needs and the driver's ability.

Method used

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  • Order remark label determination method and device, storage medium and computer equipment
  • Order remark label determination method and device, storage medium and computer equipment
  • Order remark label determination method and device, storage medium and computer equipment

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Embodiment Construction

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0041] 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. The expression "a...

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Abstract

The invention provides an order remark label determination method and apparatus, a storage medium and computer equipment. The method comprises the steps of obtaining remark information of a car use order; inputting the remark information into a pre-trained multi-label classification model to obtain a label classification result of the remark information; judging whether the label classification result comprises numerical labels or not; if yes, analyzing a numerical value in the remark information based on a regular expression; and determining the label of the remark information according to the label classification result and the numerical value. According to the method, a multi-label classification model generated based on machine learning training and a text regular matching mining method are combined, compared with a traditional artificial subjective label identification method, the accuracy and recall rate are improved, artificial subjective factors are reduced, the method is more objective, iteration updating is easier, and effective technical support can be provided for efficiently solving the problem of pairing between a user and a driver.

Description

technical field [0001] The present invention relates to the technical field of remark information processing. Specifically, the present invention relates to a method and device for determining an order remark label, a computer-readable storage medium and computer equipment. Background technique [0002] With the development of the times, online car-hailing has become an important way to meet people's car needs such as moving, traveling or commuting. Users can express their car needs through remarks when booking a car online, and the car-hailing platform will generally match the appropriate driver according to the user's car needs. [0003] At present, the car platform generally checks the order notes manually, judges the key words in the notes, and mines the user needs expressed in the order notes by matching the keywords with regular expressions. However, this method has a low recall rate and high manual subjectivity. The overlapping keywords between tags will affect the r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/216G06F40/289G06N20/00G06Q30/06G06Q50/30
CPCG06F16/35G06F40/216G06F40/289G06N20/00G06Q30/0635G06Q50/40
Inventor 周航路子巍杨嘉敏
Owner 深圳依时货拉拉科技有限公司
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