Invention Grant
- Patent Title: Utilizing a neural network model to predict content memorability based on external and biometric factors
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Application No.: US17302569Application Date: 2021-05-06
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Publication No.: US12293285B2Publication Date: 2025-05-06
- Inventor: Edouard Mathon , Christian Souche , Ji Tang
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Polsinelli PC
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06F3/01 ; G06F11/34 ; G06N3/044 ; G06N3/08 ; G06N7/01 ; G06Q30/0251

Abstract:
A device may receive target user category data identifying a target user, daily user data associated with the target user, real-time user data associated with the target user, and content data. The device may convert the target user category data, the daily user data, the real-time user data, and the content data into embedded target user category data, embedded daily user data, embedded real-time user data, and embedded content data. The device may process the embedded target user category data, the embedded daily user data, and the embedded real-time user data, with a neural network model, to determine a real-time user state and may determine a real-time user memory score. The device may process the embedded content data, the real-time user state, and the real-time user memory score, with the neural network model, to determine a memorability score and may perform one or more actions based on the memorability score.
Public/Granted literature
- US20220358357A1 UTILIZING A NEURAL NETWORK MODEL TO PREDICT CONTENT MEMORABILITY BASED ON EXTERNAL AND BIOMETRIC FACTORS Public/Granted day:2022-11-10
Information query