The purpose of the present invention is to store various experiences of vehicle users as big data by using information on vehicles released and distributed, analyze and standardize algorithms, and provide evaluation information such as the quality of vehicles and perceptions capable of determining the quality of services for information provided by automobile manufacturers. The evaluation of the vehicles is performed in a quantitative evaluation area and a qualitative evaluation area. Evaluation performance is reflected in evaluation weights based on the big data index of each vehicular model, and highly reliable evaluation data is provided by giving the weights to (1) evaluation information input to an evaluation service by a user, (2) evaluation information evaluated by a real vehicular owner according to actual experiences of use, and (3) evaluation information analyzed by an expert. Accordingly, provided is customized evaluation data on which all properties of the quantitative evaluation area, in which a consumer is interested, are selected and rearranged as priorities, and preferential weights are reflected therein according to preferences.;COPYRIGHT KIPO 2020
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