A data pushing method and system, an electronic device and a storage medium, which relate to the field of intelligent decision making. Said method comprises: extracting, according to webpage browsing information, personal features related to data pushing (S110), and recording and storing a personal behavior policy; defining, in combination with the personal features and the personal behavior policy, a reward function (S120); abstracting a real process of item recommendation as a Markov process on the basis of the reward function (S130); using the Markov property of the Markov process to simplify a Bellman equation to form an iterative equation, calculating an optimal solution of the iterative equation, and obtaining a data pushing model (S140); inputting million-level data as data features into the data pushing model to perform network training, so as to form an optimal data pushing model; and inputting personal features of a data pushing target user into the optimal data pushing model, and the optimal data pushing model automatically outputting recommendation information to said target user (S160).
DATA PUSHING METHOD AND SYSTEM, ELECTRONIC DEVICE AND STORAGE MEDIUM