Vehicle service preferential information intelligent recommendation method based on big data analysis

Abstract

The invention relates to a big data analysis based vehicle service preferential information intelligent recommendation method, which comprises a login module and a mobile phone display detection module, the output end of the login module is connected with a data processing module, the output end of the data processing module is connected with a frequently-searched vehicle recording module, a similar vehicle screening module and a credit detection module, and the output end of the similar vehicle screening module is connected with an information simplification processing module. Compared with the prior art, the vehicle service preferential information intelligent recommendation method based on big data analysis has the beneficial effects that the service preferential information can be pushed to the customer when the vehicle has the service preferential information, pushing can be avoided when a large amount of pushed information exists on a mobile phone, the viewing possibility of the customer is increased, meanwhile, the equipment can determine the accuracy of information in multiple aspects, and also can use data of other similar vehicles to be compared with the vehicle, so that the intuition of the customer is improved, and the customer can purchase the vehicle as much as possible.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to an intelligent recommendation method for preferential vehicle service information based on big data analysis. Background technique [0002] Big data analysis refers to the analysis of huge-scale data. When vehicles are sold, there will be vehicle service discount information. This is a method of intelligently recommending car buyers after big data analysis of the information, increasing car purchases. Possibility of people buying a car. [0003] The existing intelligent recommendation method for vehicle service discount information based on big data analysis usually pushes the information directly to the mobile phone for display. Effect. [0004] Therefore, it is necessary to design an intelligent recommendation method for vehicle service discount information based on big data analysis to address the above problems. Contents of the invention [0005] The purpose of...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for intelligently recommending vehicle service preferential information based on big data analysis, so as to solve the problem that the method for intelligently recommending vehicle service preferential information based on big data analysis in the above-mentioned background technology usually pushes the information directly to the mobile phone for display. , when there are too many push messages on the mobile phone, the mobile phone user will clear them without watching the push messages, so that the effect of message push cannot be achieved

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