Advertisement recommendation method and device, electronic equipment and storage medium

The invention discloses an advertisement recommendation method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining archive data and generation data of a target user, wherein the target user belongs to an inactive user, and the generated data is associated data generated between the user and the advertisement; splicing archive data of the target user and the generated data and then performing dimension reduction processing to obtain a feature vector corresponding to the target user; inputting the feature vector corresponding to the target user into a pre-trained recommendation model to obtain a classification result corresponding to the target user, wherein the recommendation model is obtained through training by taking seed users as positive sample users in advance and taking users which are active and are not interested in the target advertisement as negative sample users, and the seed users at least comprise converted users interested in the target advertisement in the active users; and if the classification result is positive, recommending a target advertisement to the target user, wherein the classification result is that the similarity between the forward characterization target user and the seed user meets a preset condition.