Methods, systems, and media for presenting notifications indicating recommended content are provided. In some implementations, a method for presenting notifications of recommended content is provided, the method comprising: receiving an indication that a user device has initiated a casting session with at least one display device, wherein the indication includes an identifier of media content presented on the at least one display device during the casting session; storing the indication in a log in association with an identifier of the user device; receiving, from the user device, a request for recommended content to be presented on the at least one display device associated with the user device; in response to receiving the request, identifying a group of media content items based on at least one media content item that has been previously selected by a user account associated with the user device and based on an identifier of the at least one display device; generating a notification that includes an indication of the identified group of media content items and a selectable input that, when selected, causes the identified group of media content items to begin being presented on the at least one display device; and transmitting the notification to the user device, wherein transmitting the notification to the user device causes the notification to be presented on the user device.

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.

A method of recommending media items to a user is provided. The method includes receiving historical data for a user of a media providing service. The historical data indicates past interactions of the user with media items. The method includes generating a model of the user. The model includes a first set of parameters, each of the first set of parameters quantifying a predicted latent preference of the user for a respective media item provided by the media providing service. The method includes evaluating the predicted latent preferences of the user for the respective media items against the historical data indicating the past interactions of the user with the media items provided by the media providing service. The method includes selecting a recommender system from a plurality of recommender systems using the model of the user, including the first set of parameters. The method includes providing a media item to a second user using the selected recommender system.

Disclosed is a server arrangement for providing media content to a user device. The server arrangement is configured to identify a plurality of items of media content from at least one data source related to the service request; analyse the plurality of items of media content to determine values of pertinence indicators for each of the plurality of items of media content; determine a quality prediction score for each of the plurality of items of media content, wherein the quality prediction score for items of media content is determined based on values of pertinence indicators for the media content; provide a filtered set of items of media content to the user device, in response to the service request, wherein the set of items of media content comprises at least one item of media content having a quality prediction score higher than a predefined threshold.

Various aspects of the subject technology are designed to analyze a range of inputs (e.g., sound, light, color, words, media, etc.), determine the sub-conscious impact of those inputs on individuals, then recommend and/or augment content capable of improving their current mental health state. Embodiments of the subject technology receive inputs (e.g., data) from information sources or platforms (e.g., smart phones, applications, wearable devices, databases, entered values). Embodiments of the subject technology analyze the received data according to one or more programmed matrices. Embodiments of the subject technology score the subconscious impact. Embodiments of the subject technology compare user data with the content data to make one or more predictions. Embodiments of the subject technology output, display, or provide several solutions for a user to choose from.

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.

A technique allows curating content such as videos to be specific to some event/theme. The technique allows creating an event in a calendar, and a backend system internally has an algorithm to pick the movies/TV shows based on viewing history.

A processing system may identify a context of a user selection within a content, identify a sequence of known user interactions with the content based on the context, modify the content to include at least one custom selection based on the sequence of known user interactions that is identified, and present the content that is modified to a user.

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.