Technologies for controlling the flow of subscriber media content outside of a home media content delivery network

    公开(公告)号:US12022158B2

    公开(公告)日:2024-06-25

    申请号:US17238264

    申请日:2021-04-23

    摘要: Technologies are disclosed for associating a subscriber's subscription profile established with a local media content delivery network, or MSO, with a remote CPE and/or network gateway device, perhaps for example served by the same MSO. One or more techniques may control the delivery of a subscriber's media content, perhaps for example by a media control device. Techniques may include receiving one or more credentials by the media control device, where the media control device is geographically remote from the subscriber's local media content delivery network. A signal may be sent to a media content delivery network device, where the signal may include information corresponding to the credentials. A configuration may be received for the subscriber's local media content delivery network in response to the signal. The configuration may be installed on the media control device. Media content may be delivered by the media control device.

    SYSTEMS AND METHODS FOR TEMPORALLY RESTRICTING ACCESS TO MULTIMEDIA

    公开(公告)号:US20230156296A1

    公开(公告)日:2023-05-18

    申请号:US18054477

    申请日:2022-11-10

    申请人: Sling TV L.L.C.

    摘要: The present disclosure is directed to systems and methods for permitting and restricting access to multimedia items based on temporal restrictions associated with certain subscription levels. The subscriptions may be subscriptions to broadcast/satellite television programming and/or Internet-streaming services. The temporal limitations on the subscription may be based on days of the week, time of day, and/or particular types of content that air at certain times. For example, one subscription type may be a weekend-only subscription that permits a user to access certain multimedia items on the weekend but restricts access to those same multimedia items during the week. A machine-learning model that is trained on a user's past viewing history is also disclosed. The system may rely on the machine-learning model to present certain relevant restricted multimedia items to the user that the user can access if the user, e.g., upgrades a subscription and/or remits a one-time fee.