SYSTEMS AND METHODS FOR PREVENTING CORRUPTION OF USER PROFILES

    公开(公告)号:US20250063227A1

    公开(公告)日:2025-02-20

    申请号:US18934805

    申请日:2024-11-01

    Abstract: Embodiments of the present disclosure includes systems for and methods of preventing corruption of user profiles. A method falling within the disclosure includes: generating a set of rules for a first user profile based on a history of user interactions with a plurality of internet content items tracked while an application on a user device was logged into the first user profile; receiving a user interface interaction with an internet content item; and based on the set of rules, determining that the user interface interaction with the internet content item is not consistent with the history of user interface interactions with the plurality of internet content items tracked for the first user profile; and based on the determining: providing for output an option to log the application on the user device into a second user profile.

    Image display apparatus
    2.
    发明授权

    公开(公告)号:US12231735B2

    公开(公告)日:2025-02-18

    申请号:US18102475

    申请日:2023-01-27

    Abstract: An image display apparatus can include a display configured to display an image; an image receiver configured to receive a broadcast signal; a signal processing device configured to output an image signal to the display based on the broadcast signal; and an interface configured to exchange data with a mobile terminal or a server. Also, the signal processing device is further configured to receive a broadcast image corresponding to a selected thumbnail from the image receiver, receive chatting conversation content corresponding to the broadcast image from the server through the interface, and overlay the chatting conversation content on the broadcast image, and in response to receiving input conversation content based on a signal from a remote controller or the mobile terminal, display the input conversation content.

    Method and system for facilitating content recommendation to content viewers

    公开(公告)号:US12225268B2

    公开(公告)日:2025-02-11

    申请号:US18185322

    申请日:2023-03-16

    Abstract: Various embodiments provide a method and a system for facilitating content recommendation to content viewers. The method performed by the system includes accessing content viewer behavior data associated with a content viewer. The method includes classifying the content viewer in a viewer cohort based on the content viewer behavior data. The viewer cohort includes a plurality of related content viewers. The method includes accessing and aggregating content viewer interaction data from the plurality of related content viewers. The content viewer interaction data includes a popularity index. The method includes computing via a machine learning model, a performance metric for each recommended content item based on the content viewer interaction data. The method includes determining an optimal content sequence for displaying the plurality of recommended content items based on the performance metrics for the plurality of recommended content items.

    DEVICES, SYSTEMS, CODECS AND METHODS FOR NEURAL CODING

    公开(公告)号:US20250047943A1

    公开(公告)日:2025-02-06

    申请号:US18779327

    申请日:2024-07-22

    Abstract: A hybrid codec for training a neural coding system, the hybrid codec including a real codec for encoding data pre-processed by a first neural network, and for decoding the encoded data for post-processing by a second neural network; and a proxy codec that is a differentiable representation of the real codec, and is for back-propagating a loss function, representative of a coding bit-rate and a coding distortion between the post-processed data and the original data, for training the weights of at least the first neural network.

    Classifying parental rating for better viewing experience

    公开(公告)号:US12219211B2

    公开(公告)日:2025-02-04

    申请号:US18240195

    申请日:2023-08-30

    Abstract: The present disclosure relates to limiting viewing of media content. More particularly, the present invention relates to classifying segments of content for limited viewing based on user preferences and classifications.
    According to a first aspect, there is provided a method for parental control of media content for a media guidance application, the method comprising, determining user preferences comprising settings for restricting viewing of segments of media content, determining media content for user consumption on a user device, determining a classification of each of a plurality of segments of the media content using a content analyzer and classifier, and comparing the determined classifications against the user preferences. In response to the comparing, the method further comprises the steps of, determining an action associated with the determined classification for restricting viewing of one or more of the plurality of segments of the media asset and modifying the one or more of the plurality of segments based on the determined action.

    Video playback device and control method thereof

    公开(公告)号:US12219208B2

    公开(公告)日:2025-02-04

    申请号:US18470173

    申请日:2023-09-19

    Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.

    Methods and systems for live streaming recommended content

    公开(公告)号:US12219184B2

    公开(公告)日:2025-02-04

    申请号:US18417071

    申请日:2024-01-19

    Applicant: Lemon Inc.

    Abstract: A method for live streaming recommended content from a content request includes live streaming a first content from a first user side, activating a live reaction at the first user side, and providing the content request at a second user side when the live reaction is enabled. The method also includes determining a second content, sending the content request indicating the second content, and receiving a confirmation at the second user side indicating the content request being sent. The method further includes receiving, at the first user side, the content request sent from the second user side, approving the content request at the first user side, and after the content request is approved, live streaming from the first user side, the second content corresponding to the content request.

    MULTI-DWELLING UNIT (MDU)-GROUP RECORDING

    公开(公告)号:US20250039495A1

    公开(公告)日:2025-01-30

    申请号:US18357839

    申请日:2023-07-24

    Abstract: Methods, systems, and devices for group recording are provided. In one example, a method includes: obtaining viewership data related to users of a multiple-dwelling unit (MDU), processing the viewership data to generate at least one user list that includes one or more common characteristics shared by the plurality of users, identifying at least one target content item, based on the one or more common characteristics for the at least one user list, determining at least one target recording item for group recording, based on the at least one target content item, automatically performing group recording of the at least one target recording item to correspondingly generate at least one shared recording, storing a copy of each shared recording in a storage device, and providing access to the content of the shared recording to a user of the MDU upon request by the user.

    Video Streaming Control Based on Network Conditions

    公开(公告)号:US20250039473A1

    公开(公告)日:2025-01-30

    申请号:US18910565

    申请日:2024-10-09

    Abstract: A control method and apparatus for video stream transmission, a device, and a medium that can be applied to various scenarios is provided. The control method for video stream transmission may include: obtaining attribute data and network environment data that are in a process in which a video streaming server downloads a video stream; predicting, based on the attribute data and the network environment data, a network status in which the video streaming server downloads the video stream within a preset time period, to obtain a prediction result; and transmitting the prediction result to a streaming strategy adjuster. The prediction result is configured for instructing the streaming strategy adjuster to determine a streaming strategy corresponding to the video streaming server.

    Generation of recommendations using trust-based embeddings

    公开(公告)号:US12206945B2

    公开(公告)日:2025-01-21

    申请号:US18187210

    申请日:2023-03-21

    Abstract: An electronic device for generation of recommendations using trust-based embeddings is provided. The electronic device determines first correlation information of a first set of users associated with a first domain. The electronic device generates, based on the first correlation information, a first vector indicating a trust embedding of a first user with respect to the first set of users, in the first domain. The electronic device receives second correlation information associated with a second set of users associated with a second domain. The electronic device utilizes a Graph Attention Network model for the second correlation information to generate a second vector indicative of a trust embedding of the first user, with respect to the second set of users, in the second domain. The electronic device applies a recommendation model on the first vector and the second vector to recommend one or more items to the first user.

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