Parking space recommendation method and device and storage medium

Abstract

The invention discloses a parking space recommendation method and device and a storage medium. The method comprises the steps: determining first parking space recommendation information matched with a vehicle target position according to the vehicle target position; secondly, screening the first parking space recommendation information based on a first parking space preference recommendation model of the user to obtain second parking space recommendation information; screening the first parking space recommendation information based on a second parking space preference recommendation model of the user to obtain third parking space recommendation information, wherein the first parking space preference recommendation model is established based on parking space preference information set by a user, and the second parking space preference recommendation model is established based on historical parking space information of the user; and finally, weighting the second parking space recommendation information and the third parking space recommendation information to obtain target recommendation information of the vehicle. Thus, by combining the preference information statically set by the user and the actual preference information, the parking space recommendation information better meeting the user demand is recommended to the user, and the accuracy of parking space information recommendation can be improved.

Description

technical field [0001] The present application relates to computer technology, in particular to a parking space recommendation method, device and storage medium. Background technique [0002] With the gradual improvement of people's living standards, cars have become an indispensable means of transportation for everyone to travel. The large base and explosive growth of car ownership has led to a serious shortage of parking space data. In addition, problems such as low utilization rate of parking spaces, difficulty in finding parking spaces, and poor parking experience have emerged one after another. Faced with this social trend, more and more parking space recommendation systems have emerged. The effectiveness of the recommendation algorithm in the parking system is directly related to the recommendation results of the user's parking space, which affects the user's parking experience and the utilization rate of the parking space. [0003] The current parking system in the...

AI Technical Summary

Problems solved by technology

[0004]In the existing parking recommendation system, the recommendation of parking spaces in the form of traditional parking lot display screens has great limitations, and users cannot predict the details of parking spaces inside the parking lot in advance. The cost of manual management is relatively high

The recommendation form of APP terminal type, the recommendation result is single and rough, resulting in poor user experience

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