The invention discloses a precise advertisement putting method based on user behavior pattern mining and clustering analysis, and relates to the technical field of
artificial intelligence and
big data analysis, and the method comprises the steps: S1, carrying out pattern mining based on
time distribution data of historical click behaviors of a user to generate a click time preference model of the user, the method comprises the steps of S1, selecting a click time preference model, S2, inputting the click time preference model into a clustering analysis
algorithm to obtain a time period
classification result of different user groups, S3, determining an advertisement display priority and a frequency threshold value of each
user group according to the time period
classification result, and S4, regulating and controlling the advertisement display frequency of the corresponding
user group according to the frequency threshold value to reduce the influence of
information overload. According to the accurate advertisement putting method based on user behavior pattern mining and clustering analysis, the advertisement display frequency is regulated and controlled according to the
time distribution of user click behaviors so as to solve the problem of
information overload.