Intelligent park lot active recommendation system combining user portrait and real-time heat

Abstract

The application discloses a wisdom park parking space active recommendation system combining user portrait and real-time heat, relates to the technical field of parking space recommendation, and has the technical scheme as follows: historical parking space use information of the wisdom park is acquired, and parking space benchmark elements are obtained based on the historical parking space use information; wherein the historical parking space use information comprises parking space characteristic parameters, recommendation classification results and heat evolution processes; the parking space benchmark elements comprise element numbers, element characteristic parameters and element recommendation labels; supply-demand heat deviation bases are obtained according to the influence of parking space heat fluctuation on the supply-demand adaptation relationship determined according to the fitting degree; portrait heat difference coefficients are obtained by performing deviation correction on parking demand rigidity and parking space heat stability according to the supply-demand heat deviation bases; and target parking space recommendation results are output for users to be recommended according to the portrait heat difference coefficients, so that the overall utilization rate of the park parking spaces is improved.

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