Vehicle recommendation method and device, equipment and storage medium
A recommendation method and vehicle technology, applied in the computer field, can solve the problems of reduced user experience, low coverage, poor matching of recommended results, etc., and achieve the effect of improving user experience and improving matching.
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[0031] Example one
[0032] figure 1 It is a flowchart of a vehicle recommendation method in the first embodiment of the present invention. The embodiment of the present invention is applicable to the case of recommending vehicles to users in a shared car rental platform. The method is executed by a vehicle recommendation device, which uses software and / Or hardware implementation, and specifically configured in an electronic device with certain data computing capabilities, where the electronic device can be a server or a personal computer.
[0033] Such as figure 1 A vehicle recommendation method shown includes:
[0034] S110: Obtain a user feature vector of the current user, and determine the vehicle feature vector of the vehicle to be recommended.
[0035] Among them, the user feature feature vector is used to characterize feature information corresponding to different users, so as to distinguish different users. Exemplarily, the characteristic information corresponding to the use...
Example Embodiment
[0059] Example two
[0060] figure 2 It is a flowchart of a vehicle recommendation method in the second embodiment of the present invention. The embodiment of the present invention is optimized and improved on the basis of the technical solutions of the foregoing embodiments.
[0061] Further, the operation "determine the long-term behavior vector of the current user in the first time period based on the historical interaction information of the current user on the historically recommended vehicle" is refined into "recommend the vehicle based on the history in the first The corresponding historical interaction information in the time period respectively determines the comprehensive interaction times of the interactive behavior of each of the historical recommended vehicles by the current user; and filters the set number of historical recommendations according to the comprehensive interaction times corresponding to each historical recommended vehicle Vehicles; determine the long-te...
Example Embodiment
[0096] Example three
[0097] image 3 It is a flowchart of a vehicle recommendation method in the third embodiment of the present invention. The embodiment of the present invention is optimized and improved on the basis of the technical solutions of the foregoing embodiments.
[0098] Further, the operation "determine the short-term behavior vector of the current user in the second time period according to the historical interaction information of the current user on the historically recommended vehicle" is refined into "recommend the vehicle based on the history in the second The historical interaction information corresponding to the time period counts the number of interactions of the current user with the historical recommended vehicle at different times; according to the total number of interactive behaviors of the current user with the historical recommended vehicle within a preset time period The number of interactions is used to filter historical recommended vehicles; the ...
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