System
AssigneeSoftBank Group Corp.
InventorHiroyuki MIZUNO
Life of this patent
Estimating the term…
Abstract
A system includes a processor that is configured to; generate a prompt that instructs a generative AI model to perform evaluation of a plurality of investment instruments in order to compare the plurality of investment instruments and propose an optimal investment instrument to a user; store past investors'experience and knowledge in a database and cause an artificial intelligence to generate an investment strategy with reference to the database; and recognize an emotional state of the user in real time and adjust the investment strategy based on the emotional state by using an emotion engine.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, from a terminal device, attribute data and a natural-language query associated with a user;
- generate, based on the attribute data and time-series external data received from an external information processing apparatus, a numerical feature vector representing characteristics of the user;
- construct a natural-language prompt sentence incorporating the numerical feature vector and instructing a generative neural network model to evaluate a plurality of candidate items and produce a ranked recommendation;
- execute the generative neural network model with the natural-language prompt sentence as an input to produce structured recommendation data;
- and
- transmit, via the communication interface coupled to the packet-switched network, the structured recommendation data to the terminal device for presentation to the user.
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, from a terminal device, attribute data, a natural-language query, and sensor information associated with a user;
- generate, based on the attribute data and time-series external data received from an external information processing apparatus, a numerical feature vector representing characteristics of the user;
- apply a state estimation function to the sensor information to generate user state information;
- construct a natural-language prompt sentence incorporating the numerical feature vector and the user state information, the natural-language prompt sentence instructing a generative neural network model to evaluate a plurality of candidate items and produce a ranked recommendation adjusted for a detected condition of the user;
- execute the generative neural network model with the natural-language prompt sentence as an input to produce structured recommendation data;
- and
- transmit, via the communication interface coupled to the packet-switched network, the structured recommendation data to the terminal device.
A method performed by circuitry, the method comprising:
- receiving, via a communication interface coupled to a packet-switched network, from a terminal device, attribute data and a natural-language query associated with a user;
- generating, based on the attribute data and time-series external data received from an external information processing apparatus, a numerical feature vector representing characteristics of the user;
- constructing a natural-language prompt sentence incorporating the numerical feature vector and instructing a generative neural network model to evaluate a plurality of candidate items and produce a ranked recommendation;
- executing the generative neural network model with the natural-language prompt sentence as an input to produce structured recommendation data;
- and
- transmitting, via the communication interface coupled to the packet-switched network, the structured recommendation data to the terminal device for presentation to the user.
Dependencies are inferred from the claim text.