The invention discloses a user portrait accurate delivery orientation method based on
label dynamic analysis, relates to the technical field of delivery orientation, and is used for solving the problems that recommended content is lagged and user experience is reduced. When a
group label is newly added in a candidate
label database, the newly added
label is marked and monitoring time is set; collecting
staying time data of group users under marked group labels and evaluating label offset trends, calculating label solidification classes by combining label jump-out characteristics, setting content overflow coefficients by utilizing the label solidification classes, and controlling injection proportions of marked
group label contents in a recommendation scheduling
pool according to the content overflow coefficients; according to the method, the search backspacing proportion and the interaction triggering frequency of the group users are counted, the label adhesion index of the marked
group label is generated through fusion, whether the marked group label is stored in the label
database or not is judged, the real-time performance of the group users and the timeliness of
content distribution are improved, and more accurate and more intelligent delivery orientation is achieved.