Method for analyzing relationship between personal factors and types of visiting places and a method for recommending personalized contents using the same

摘要

Obtaining first personal feature features, which are P personal feature features collected from a specific person, and outputting the first personal feature features from the output layer of the mth predictive model when the first personal feature features are input to the input layer of the mth predictive model an output value is obtained, and the total number of times that the specific person has visited the M types of visits is T-number of visits, and the number of times that the specific person has visited the mth type of visits among the M types of visits is m ^th - when the left is called the hit, the m ^th on the basis of the acquired output values - the ratio is to visit the destination of a particular type to calculate the percentage of visits - the hit value m ^th divided by the number of visits T- reveal how to predict.