Abstract: A method and an apparatus for displaying an information flow on a terminal device, an electronic device, a computer-readable storage medium, and a computer program product are provided. An implementation is: in response to detecting an activation operation on an application for displaying the information flow, reproducing, on the terminal device, a first page displayed on the terminal device when the application is last switched to running in the background or closed; and in response to determining that a time interval between the activation operation and the application being last switched to running in the background or closed does not exceed a first threshold, displaying a second page as a continuation of a content entry displayed in the first page, where the second page includes at least one first content entry cached in the terminal device before the activation operation but not displayed in the first page.

Abstract: Provided are a resource recommendation method and apparatus, a parameter determination method and apparatus, a device, and a medium. The specific implementation is as follows: determining a recommendation reference characteristic of a target user; and determining a resource recommendation result for the target user according to the recommendation reference characteristic of the target user and based on at least two resource recommendation models; where at least two recommendation strategy parameters in the at least two resource recommendation models are jointly determined according to recommendation behavior data of a historical user, and a resource processing stage associated with each of the at least two resource recommendation models is different.

Abstract: A method and apparatus for recommending a content, a device, and a medium are provided. The method may include: determining, based on historical behavior data of a user using a product and a feature of a structure of a to-be-recommended content, a target structural preference of the user, the structure being determined by classifying the to-be-recommended content based on any classifying method of a content tag system; and determining each recommendation result of the user based on the target structural preference, the recommendation result including at least two structures and a recommendation content corresponding to each structure.