AUTOMATED CONTENT SELECTION FOR GROUPS

    公开(公告)号:US20210274254A1

    公开(公告)日:2021-09-02

    申请号:US17320263

    申请日:2021-05-14

    Abstract: Aspects of the subject disclosure may include, for example, a system and method for selecting media content for a group of persons located at a venue. The system and method identify a plurality of viewers in a vicinity of a venue that has one or more display devices from location data and extracts a content viewing preference of each viewer from their profile data. The process includes aggregating the content viewing preference of each of the plurality of viewers to generate an aggregated content profile. Based on the aggregated content profile, a list of content is generated. Next, a first group of viewers approaching a viewing range of a display device are sensed by imaging data. Any conflicts between content viewing preferences of the first group of viewers are detected and resolved based on weighting the viewing preferences of the group. Other embodiments are disclosed.

    Mobile service platform
    54.
    发明授权

    公开(公告)号:US10963822B2

    公开(公告)日:2021-03-30

    申请号:US15877081

    申请日:2018-01-22

    Abstract: A method and apparatus for a service platform capable of providing device-based task completion is disclosed. A request for a task is received at a service platform from a customer. A worker device to complete the task is selected from a group of worker devices registered with the service platform based on a current attribute of the worker device. Data resulting from completion of the task is received from the selected worker device, validated, and presented to the customer. A reward or incentive can be provided to the worker device in response to the data being received from the worker device and validated.

    OPTIMIZATION OF MULTIPLE SERVICES VIA MACHINE LEARNING

    公开(公告)号:US20200349472A1

    公开(公告)日:2020-11-05

    申请号:US16933943

    申请日:2020-07-20

    Abstract: A method, computer-readable medium, and apparatus for modeling data of a service for providing a policy are disclosed. For example, a method may include a processor for generating a first policy for a first service by a first policy model using machine learning for processing first data of the first service, determining whether the first policy is to be applied to a second service, applying the first policy to the second service when the first policy is deemed to be applicable to the second service, wherein the applying the first policy provides the first policy to a second policy model using machine learning for processing second data of the second service, generating a second policy for the second service, and implementing the second policy in the second service, wherein the first service and the second service are provided by a single service provider.

    VALIDATING OBJECTS IN VOLUMETRIC VIDEO PRESENTATIONS

    公开(公告)号:US20200334447A1

    公开(公告)日:2020-10-22

    申请号:US16385368

    申请日:2019-04-16

    Abstract: A method for validating objects appearing in volumetric video presentations includes obtaining a volumetric video presentation depicting a scene, wherein the volumetric video presentation is associated with a metadata file containing identifying information for the scene, identifying user-generated content that depicts the scene, by matching metadata associated with the user-generated content to the metadata file associated with the volumetric video presentation, comparing a first object appearing in the volumetric video presentation to a corresponding second object appearing in the user-generated content, assigning a score to the first object based on the comparing, wherein the score indicates a probability that the first object has not been manipulated, and altering the volumetric video presentation to filter the first object from the volumetric video presentation when the score falls below a threshold.

    Methods, systems and algorithms for providing anonymization

    公开(公告)号:US10810324B2

    公开(公告)日:2020-10-20

    申请号:US15958131

    申请日:2018-04-20

    Abstract: Aspects of the subject disclosure may include, for example, embodiments for providing anonymization. The anonymization can be provided such as to implement, for example, privacy as a service. The anonymization can be directed to emails, web activity (e.g., searching, viewing), browser history, telephone calls and/or physical mail. Mechanisms can be provided via which publication (e.g., online publication; publication in the form of information or data (such as marketing data)) of certain likes/dislikes that a person has can be controlled (e.g., certain likes/dislikes can be prohibited from being made public; certain likes/dislikes can be prohibited from being sold as marketing data; certain likes/dislikes can be allowed to be made public; certain likes/dislikes can be allowed to be sold as marketing data). Other embodiments are disclosed.

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