Invention Grant
- Patent Title: Content recommendation based on a system prediction and user behavior
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Application No.: US17961932Application Date: 2022-10-07
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Publication No.: US11889154B2Publication Date: 2024-01-30
- Inventor: Shyak Das , Vikram Makam Gupta , Muthukumar Lakshmipathi , Madhusudhan Seetharam
- Applicant: Rovi Guides, Inc.
- Applicant Address: US CA San Jose
- Assignee: Rovi Guides, Inc.
- Current Assignee: Rovi Guides, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Haley Guiliano LLP
- Main IPC: H04N21/472
- 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.
Public/Granted literature
- US20230044734A1 CONTENT RECOMMENDATION BASED ON A SYSTEM PREDICTION AND USER BEHAVIOR Public/Granted day:2023-02-09
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