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.

Systems and associated methods are described for providing content recommendations. The system selects a first plurality of subsets of content categories, each subset of content categories comprising a first number of content categories. The subsets are assigned reward scores based on content popularity and duplication. The subset are then iteratively modified to increase the rewards scores. If the reward scores are still low, the process is repeated by selecting a second plurality of subsets of content categories, each subset of content categories comprising a second number of content categories, different from first number.

The described technology is directed towards locating and using a template for processing data item data from a general form into a client-specific form for returning in response to a client request. A client request includes a data item identifier and client-specific information. The data item's identifier is processed into a data type and/or identifier, e.g., a string. The client-specific information is used to determine a device class, device type and/or client platform software version. The template is found in a hierarchy of templates based upon the client-specific information and the data type or data ID string, e.g., the client-specific information may be used to determine a subset of template folders that is evaluated to find a file with a filename matching the string. The folders may be ordered from most-specific to least-specific, so as to locate the most specific template file that applies.

In accordance with some implementations, a method for measuring viewership of media content is disclosed. The method is performed on a client system. The client system obtains identification information for individuals who have agreed to participate in a media viewership totals measurement study, detects a first user of the client system, determines media content being presented in proximity to the first user, automatically determines if the first user is an individual who has agreed to participate in the media viewership totals measurement study; and generates viewership data according to the determination.

The present disclosure provides a video recommendation method and apparatus, an electronic device, and a computer-readable storage medium. The video recommendation method includes: transmitting a video obtaining request to a server in response to receiving a play trigger operation for target preview information in preview information displayed on a first display interface, the video obtaining request carrying identification information of a first video corresponding to the target preview information; receiving, from the server, the first video, a second video having a video similarity satisfying a first predetermined condition with the first video, and corresponding second video preview information; and playing the first video through a first region of a second display interface, and displaying a first predetermined number of pieces of preview information within the second video preview information through a second region of the second display interface, the second display interface including the first region and the second region.

In some embodiments, an electronic device presents recommended content for a set of users in accordance with some embodiments of the disclosure. The electronic device is associated with a plurality of user accounts, including a first user account, displaying, via a display generation component, a media browsing user interface associated with the first user account. In accordance a determination that the first user account satisfies one or more criteria and in accordance with a determination that a first subset of user accounts of the plurality of user accounts associated with the electronic device has been selected for inclusion in content recommendations, the electronic device is configured to display, in the media browsing user interface, one or more representations of media content recommendations based on one or more characteristics of the first user account and the first subset of user accounts.

A method for playing a video includes: detecting, on a display page of a target video, a first operation on the target video; generating a trigger signal in response to the first operation; acquiring, based on the trigger signal, at least one associated video of the target video; and displaying the at least one associated video.

The disclosure relates to a method for displaying information, device, system, electronic device, and storage medium. The method includes acquiring, user tag of a user account in response to a trigger operation on an information page, the user tag corresponding to one or more types of media files of the user account. The method includes displaying the user tag on the information page. The method includes displaying an associated user account corresponding to the user tag in response to an operation of selecting target user tag from the user tag.

Systems and processes are disclosed for controlling television user interactions using a virtual assistant. In an example process, a virtual assistant can interact with a television set-top box to control content shown on a television display. Speech input for the virtual assistant can be received from a device with a microphone. The speech input can comprise a query associated with content shown on the television display. A user intent of the query can be determined based on one or more of the content shown on the television display and a viewing history of media content. A result of the query can be caused to be displayed based on the determined user intent.

Systems and methods are presented for providing personalized content based on gestures, in order to provide a seamless and user-driven feedback capture platform that captures user gestures and provides improved personalized content. The system captures biometric data from the user during the presentation of a first content item from a first content source. The system identifies the feedback indicator from the biometric data captured during the output of the first content item and stores an identifier of the second content item associated with the first content item in the master list. The system generates the master list for display and, in response to receiving a selection of the identifier of the second content item, retrieves for output the second content item from the second content source on the user device.