Vehicle selection and purchase recommendation method based on analytic hierarchy process

Abstract

The invention discloses a vehicle selection and purchase recommendation method based on an analytic hierarchy process. The method specifically comprises the following steps of: collecting informationof all vehicles on the Internet; obtaining a vehicle selection limit of a user and the preference degree of the user for each attribute of vehicles, and screening all vehicles collected through the Internet according to the vehicle selection limit of the user to obtain all vehicles selectable by the user; constructing a judgment matrix A according to the preference degree of the user for each attribute of vehicles; constructing a judgment matrix of all vehicles which can be selected by a user for each attribute; and performing calculation according to the judgment matrix to obtain a recommendation weight of each vehicle which can be selected by the user, and preferentially recommending the vehicle to the user if the recommendation weight is greater. According to the method, the problems ofmany options, complex data, incomplete analysis and consideration and the like during traditional car purchase are avoided, meanwhile, the method is intelligent, an accurate recommendation scheme isprovided in real time according to the unique preferred taste of the user, time is saved, efficiency is high, and physical power and mental labor are saved.

Description

technical field [0001] The invention relates to a vehicle purchase recommendation method based on the analytic hierarchy process, and belongs to the technical field of vehicle purchase recommendation. Background technique [0002] At present, the traditional vehicle purchase recommendation cannot fully understand the customer's wishes, resulting in too many choices for users when choosing a vehicle, resulting in unnecessary waste of time and energy, and often failing to find a vehicle that suits them after spending time. Conducive to the realization of smart and convenient modern car life. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a vehicle purchase recommendation method based on the analytic hierarchy process, which can provide accurate technical consultation for users when purchasing a vehicle, and save time and cost. [0004] The present invention adopts the following technical solutions for solving the...

AI Technical Summary

Problems solved by technology

[0002] At present, the traditional vehicle purchase recommendation cannot fully understand the customer's wishes, resulting in too many choices for users when choosing a vehicle, causing unnecessary waste of time and energy, and often failing to find a suitable vehicle after spending time. Conducive to the realization of smart and convenient modern car life

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