RECOMMENDATION SYSTEM OF THE TYPE OF A CAR BASED ON A USING INFORMATION AND STATUS OF THE CAR, AND METHOD THEREOF

摘要

According to an embodiment of the present invention, a car type recommendation system and a method thereof are disclosed. When the driving of a vehicle is finished, a server receives customer data and driving data of the vehicle and stores the same in a database part accumulatively. The server calculates a statistical mean value of the customer′s driving data stored in the database part based on the customer data and vehicle data, and calculates a customer driving index by item using a normal distribution-based probability value by comparing the statistical mean value of the customer′s driving data and a statistical mean value of a number of general customers′driving data. A customer trend index is generated by multiplying weighted values by the customer′s driving index by item and then adding the results. The present invention can save time and select the car type and model suitable for a driver since the most suitable car type can be recommended to a driver by analyzing the driver′s driving pattern; and from the standpoint of a manufacturer, marketing competitiveness can be further enhanced by recommending car type, car model and even options.