公开(公告)号：US11889154B2

公开(公告)日：2024-01-30

申请号：US17961932

申请日：2022-10-07

Applicant: Rovi Guides, Inc.

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

IPC: H04N21/472 ,  H04N21/466

CPC classification number: H04N21/47214 ,  H04N21/4663 ,  H04N21/4668

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.

公开(公告)号：US20240121478A1

公开(公告)日：2024-04-11

申请号：US18545354

申请日：2023-12-19

Applicant: Rovi Guides, Inc.

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

IPC: H04N21/472 ,  H04N21/466

CPC classification number: H04N21/47214 ,  H04N21/4663 ,  H04N21/4668

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.

公开(公告)号：US20230044734A1

公开(公告)日：2023-02-09

申请号：US17961932

申请日：2022-10-07

Applicant: Rovi 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.

公开(公告)号：US11490163B1

公开(公告)日：2022-11-01

申请号：US17370620

申请日：2021-07-08

Applicant: Rovi Guides, Inc.

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

IPC: H04N7/10 ,  H04N7/025 ,  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.