公开(公告)号：US20240414241A1

公开(公告)日：2024-12-12

申请号：US18206435

申请日：2023-06-06

Applicant: Adeia Guides Inc.

Inventor： Vishwas Sharadanagar Panchaksharaiah ,  Gyanveer Singh ,  Pooja Srivastava ,  Shyak Das ,  Sumit Prasad ,  Reda Harb

IPC: H04L67/303 ,  H04L67/141

Abstract: Systems and methods are described for sharing and displaying personalized content and media asset recommendations for an OTT account associated with a guest device on a host/public device without having the guest device logging in via the host device into their own OTT account. Host and guest devices are identified based on their OTT profiles. A process to determine interest in displaying on the host device is determined when the guest device launches an OTT application, is on the same local area network, or is within a predetermined distance of the host device. Sharing and displaying restrictions associated with both guest and host device accounts are considered in issuing a session token, based on which the personalized OTT content associated with the guest device is displayed on the host device. Personalized media asset recommendations commonly shared between the guest and host devices are displayed separately on the host device.

公开(公告)号：US12231732B2

公开(公告)日：2025-02-18

申请号：US18545354

申请日：2023-12-19

Applicant: Adeia Guides Inc.

Inventor： Shyak Das ,  Vikram Makam Gupta ,  Muthukumar Lakshmipathi ,  Madhusudhan Seetharam

IPC: H04N21/472 ,  H04N21/466

Abstract: Systems and methods for generating a content item based on a difference between a user confidence score and a confidence score are disclosed. For example, a system generates for output a first content item. While the first content item is being outputted, the system receives user data via sensors of a device. The system determines a user confidence score based on the user data and metadata of the first content item. The user confidence score indicates a user's perceived probability of an event occurring in the future. The system calculates a prediction score which estimates the likelihood of the event occurring in the future. In response to determining that the difference between the user confidence score and the prediction score exceeds a threshold, the system selects a second content item related to the event and generates for output a recommendation comprising an identifier of the second content item.