Abstract: This application provides an article recommendation method and apparatus, a computer device, and a storage medium.

Abstract: A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

Abstract: Embodiments of this application provide a method for making recommendations to a user and an apparatus, a computing device, and a storage medium. The method includes obtaining user attribute information, reading attribute information, reading history information, and candidate items; performing intra-group information fusion on the reading attribute information according to preset groupings to obtain reading feature information; obtaining a reading history weight according to the reading history information; obtaining history feature information according to the reading history weight and the reading history information; obtaining user feature information according to the user attribute information, the reading feature information, and the history feature information; and selecting a recommendation item from the candidate items according to the user feature information.

Abstract: A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

Abstract: This application provides an article recommendation method and apparatus, a computer device, and a storage medium.

Abstract: An information processing method, a server, and a computer storage medium are disclosed. The method includes: obtaining first information from a first terminal, the first information including at least information content and an information presentation style parameter; obtaining second information from the second terminal, the second information including at least basic user information and/or user behavior information and/or user relationship chain information; generating sampling information according to the first information and the second information, and constructing, according to the sampling information, at least one processing policy that separately corresponds to a first type of processing node interacting with the first terminal and a second type of processing node interacting with the second terminal; and generating the third information according to the first information and the at least one processing policy, and sending the third information to the second terminal for information presentation.