Fecha de publicación: 01/03/2022 Fuente: Wipo "BigData" The embodiment of the invention provides an Internet content pushing method based on big data demand analysis and an AI system. First user portrait feature distribution which does not cover user portrait features corresponding to one or more user community interaction activities of a target user in a plurality of preset user community interaction activities is sent to each content pushing service; each content pushing service executes initial interaction tracking aiming at the target user according to the first user portrait feature distribution, and performs further analysis based on an initial interaction tracking log after generating the initial interaction tracking log, so as to accurately obtain second user portrait feature distribution of the target user; and user portrait features related to community interaction are supplemented in time. Thus, the content pushing configuration rule can be transmitted to the target content pushing service based on the second user portrait feature distribution to request the target content pushing service to perform corresponding Internet content pushing on the target user, and the reliability of Internet content pushing is improved.