Abstract: Embodiments of the present application disclose a method and an apparatus for pushing information. One embodiment of the method comprises: in response to the receipt of an information push request sent by a user by means of a terminal, determining object information about at least one object associated with user information included in the information push request; determining target push information according to the user information, the object information, and a pre-established information determination model, the information determination model being used for characterizing a correlation between user information, object information, and target push information; and pushing the target push information to the terminal for the user to view by means of the terminal.

Abstract: A method and apparatus for recommending information are provided. The method includes: acquiring, in response to determining that a user enters a preset interface based on a first preset operation of the user, operation information within a preset length of time before the user performs the first preset operation; determining behavior data of the user browsing the preset interface based on the operation information; and determining recommendation information for the user based on the behavior data, and displaying the recommendation information in the preset interface.

Abstract: Provided is a data processing method and apparatus and a storage medium. Object attribute information, historical behavior data and historical display data corresponding to the object attribute information are extracted from historical log data. Historical recommendation data corresponding to the object attribute information is acquired from a historical recommendation information base. The historical recommendation data is searched for first historical recommendation data which is the same as the historical display data. Second historical recommendation data is obtained according to the historical display data, historical behavior data and the first historical recommendation data. A preset recommendation model is trained by using the second historical recommendation data and the third historical recommendation data to obtain a trained preset recommendation model.

Abstract: Embodiments of the present application disclose a method and an apparatus for pushing information. One embodiment of the method comprises: in response to the receipt of an information push request sent by a user by means of a terminal, determining object information about at least one object associated with user information included in the information push request; determining target push information according to the user information, the object information, and a pre-established information determination model, the information determination model being used for characterizing a correlation between user information, object information, and target push information; and pushing the target push information to the terminal for the user to view by means of the terminal.