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US 2026/0288772 A1Published application
System
AssigneeSoftBank Group Corp.
InventorShingo KUSANO
Life of this patent
Estimating the term…
Abstract
A system includes a processor that is configured to receive, by using a sensor device, information from a user regarding a child's behavior, interests, and activities, preprocess data and extract features from the received information by using a machine learning algorithm, and generate a prompt that instructs a generative artificial intelligence model to generate a report proposing play and educational activities suitable for the child based on an analysis result.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a communication interface, structured data comprising information on behavior, interest, and activity of a subject input by a user through a terminal device;
- preprocess the structured data using a natural language processing algorithm and a statistical learning algorithm to convert text information and attribute information into feature data represented as numerical vectors;
- calculate analysis result data indicating characteristics and interest tendencies of the subject from the feature data;
- generate prompt generation data by summarizing age, target of interest, behavior history, and activity history of the subject according to a template generation algorithm and constructing a prompt sentence comprising the summarized contents;
- transmit generation request data comprising the prompt generation data to a generative artificial intelligence model to cause the generative artificial intelligence model to generate natural language recommendation data relating to at least one of an activity and an article suitable for the subject, and acquire the natural language recommendation data;
- associate the natural language recommendation data with candidate content information stored in a storage device to generate report data and output the report data to the terminal device;
- and
- receive operation history data from the terminal device and update a learning model used for generation of the feature data and calculation of the analysis result data using the operation history data to generate learning update data configured to personalize the prompt sentence and the natural language recommendation data in subsequent processing.
6 more elements
A system comprising:
- circuitry configured to:
- receive structured data comprising information on behavior, interest, and activity of a subject via a communication interface;
- preprocess the structured data using a natural language processing algorithm and a statistical learning algorithm to convert text information and attribute information into feature data represented as numerical vectors and calculate analysis result data indicating characteristics and interest tendencies of the subject;
- generate prompt generation data by constructing a prompt sentence comprising age, target of interest, behavior history, and activity history of the subject according to a template generation algorithm, and transmit the prompt generation data to a generative artificial intelligence model to obtain natural language recommendation data;
- associate the natural language recommendation data with candidate content information to generate report data and output the report data to the terminal device;
- and
- apply an emotion recognition algorithm to determine an emotional state and adjust at least one of the prompt sentence and the natural language recommendation data based on the emotional state.
4 more elements
A method performed by circuitry, the method comprising:
- receiving structured data comprising information on behavior, interest, and activity of a subject via a communication interface;
- preprocessing the structured data using a natural language processing algorithm and a statistical learning algorithm to convert text information and attribute information into feature data represented as numerical vectors;
- calculating analysis result data indicating characteristics and interest tendencies of the subject from the feature data;
- generating prompt generation data by summarizing age, target of interest, behavior history, and activity history of the subject according to a template generation algorithm and constructing a prompt sentence comprising the summarized contents;
- transmitting the prompt generation data to a generative artificial intelligence model to obtain natural language recommendation data;
- associating the natural language recommendation data with candidate content information to generate report data;
- applying an emotion recognition algorithm to determine an emotional state and adjusting at least one of the prompt sentence and the natural language recommendation data based on the emotional state;
- and
- receiving operation history data from a terminal device and updating a learning model using the operation history data.
6 more elements
Dependencies are inferred from the claim text.