[Abstract] The present invention comprises: a step of storing source data by classifying unique keywords of four areas of all quadrants according to type, characteristic, and consciousness level; a step of storing incentive suitability data according to the classification of keywords in the source data, according to an unconscious mechanism and conscious behavior patterns that form personality including user temperament, personality and behavior inducing factors; a first information collection step; a step of curating, on the basis of information collected in the first information collection step and data stored in a second data storage step, a product suitable for a user through a product recommendation algorithm; a second information collection step; and a step of cyclically elaborating the product recommendation algorithm on the basis of information collected in the second information collection step.
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