Maintenance technician recommendation method and device and storage medium

Abstract

The invention discloses a maintenance technician recommendation method and device, and a storage medium. The method comprises the steps of obtaining a maintenance demand of a user; extracting maintenance demand parameters in the maintenance demand; obtaining maintenance technicians matched with the maintenance demand parameters from a technician database as a recommendation candidate set; and sorting the maintenance technicians in the recommendation candidate set according to the evaluation grades of the maintenance technicians, and outputting a sorting result. So visible, compared with the prior art in which a distance recommendation method is adopted, according to the method, the recommended candidate set is obtained according to the matching degree with the maintenance demand parameters, the maintenance technicians in the recommended candidate set are ranked according to the evaluation level of the maintenance technicians, the maintenance level of the recommended maintenance technicians is more consistent with the maintenance demand of the user, namely, the recommendation result of the method is more accurate, and the user experience can be improved.

Description

technical field [0001] The present application relates to the technical field of data mining, in particular to a recommendation method, device and storage medium for maintenance technicians. Background technique [0002] As the automotive industry continues to grow, maintenance has also become an important concern. In the maintenance, in order to facilitate the operation of the user, a maintenance technician can be recommended for the user. [0003] In the prior art, the recommendation method for maintenance technicians is usually to collect the geographical location and repair brand range of each repair factory in advance. The distance of the repair shop is recommended to the user according to the distance sorting to the nearest repair shop. Although the recommendation method provided by the existing technology can provide users with corresponding information, as the user’s professional requirements for maintenance continue to increase, the recommendation results generate...

AI Technical Summary

Problems solved by technology

Although the recommendation method provided by the existing technology can provide users with corresponding information, as the user’s professional requirements for maintenance continue to increase, the recommendation results generated simply by means of distance can no longer meet the user’s requirements. For example, distance The maintenance technician at the nearest repair shop may not have the ability to repair the current user's vehicle or the technician is not professional enough, which will inevitably lead to poor user experience

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