(EN) An embodiment of the invention provides an information processing and model training method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring to-be-processed pop-up window information which is transmitted to the electronic equipment; inputting the to-be-processed pop-up window information into a pop-up window management model, wherein the pop-up window management model is a model which is constructed on the basis of a deep neural network and is used for judging whether the inputted popped-up window information attracts a user or not, and the popped-up window information which attracts the user is information of which the attention is greater than a threshold value; and if an output result of a popped-up window management model is the popped-up window information which attracts the user, transmitting the to-be-processed popped-up window information to the electronic equipment so that the electronic equipment displays the to-be-processed popped-up window information through a popped-up window function. By the embodiment, the problem that the electronic equipment displays a large number of popped-up window information which does not attract the user is solved.
(ZH) 本发明实施例提供了一种信息处理和模型训练方法、装置、电子设备、存储介质，方法包括：获取发送给电子设备的待处理弹窗信息；将待处理弹窗信息输入弹窗管理模型；弹窗管理模型为：基于深度神经网络构建的、用于确定输入的弹窗信息是否为用户感兴趣的弹窗信息的模型，用户感兴趣的弹窗信息为关注度大于阈值的信息；若弹窗管理模型的输出结果为待处理弹窗信息为用户感兴趣的弹窗信息，将待处理弹窗信息发送给电子设备，以使电子设备通过弹窗功能显示待处理弹窗信息。应用本发明实施例，解决了电子设备显示大量用户不感兴趣的弹窗信息的问题。
