PERSONALIZED ADVERTISEMENT SERVICE SYSTEM USING SENSITIVENESS-BASED USER CHARACTERISTIC ANALYSIS

摘要

The present invention relates to a personalized advertisement providing service method using sensitiveness-based user characteristic analysis which uses a consumption tendency and an activity characteristic of an individual to classify advertisement categories to connect a Myers-Briggs type indicator (MBTI) method and age and gender information of a user to the advertisement categories to give sensitiveness information to the advertisement categories to analyze sensitiveness of the individual to expose an advertisement to a target customer and provide a personalized service and product to minimize time and costs spent by a consumer to provide an advertisement matching a preference of the user. According to the present invention, the personalized advertisement proving service method using sensitiveness-based user characteristic analysis comprises: a first step of using information collected via a mobile device and the web to characterize a user to classify and store a specific information group; a second step of classifying a user identification representation group in the classified information group; a third step of performing similarity analysis between users in the user identification representation group; a fourth step of grouping user similarities by the similarity analysis of the third step; and a fifth step of recommending a product suitable for grouped users.