System, method, and program for determining commodity or service suitable for user
AssigneeADVASA Co., Ltd.
InventorHideki Fujii
Life of this patent
Estimating the term…
Abstract
The present invention provides a system for determining a commodity or service suitable for a user. The system is configured to perform: acquisition of data and/or information regarding the user (step S701); calculation of a score that multi-dimensionally represents a feature of the user on the basis of the acquired data and/or information regarding the user (step S702); and determination of a commodity or service suitable for the user, by using the score (step S703).
Claims15
A system for determining a product or service that is suitable for a user, the system comprising a processor, the system being connected to a user terminal apparatus and a dispersed network, the user terminal apparatus and the dispersed network storing data and/or Information related to a user, the processor being configured to:
- communicate with the user terminal apparatus and the dispersed network to acquire data and/or Information related to the user;
- calculate a score that multidimensionally represents a characteristic of the user by inputting the acquired data and/or Information related to the user into a machine learning model, the machine learning model having learned a relationship between data and/or Information related to a plurality of users with a score;
- and
- determine the product or service that is suitable for the user by utilizing the score, the determining comprising:
- deducing a feature in accordance with a field of the product or the service from the score;
- and
- determining the product or the service associated with the feature,
- wherein the processor is further configured to:
- adjust an acquirable range of the data and/or Information related to the user, in response to an input by the user, and
- calculate the score such that the broader the acquirable range is, the more favorable the score becomes.
A method for determining a product or service that is suitable for a user, the method being performed by a system connected to a user terminal apparatus and a dispersed network, the user terminal apparatus and the dispersed network storing data and/or Information related to a user, comprising:
- communicating with the user terminal apparatus and the dispersed network to acquire data and/or Information related to a user;
- calculating a score that multidimensionally represents a characteristic of the user by inputting the acquired data and/or Information related to the user into a machine learning model, the machine learning model having learned a relationship between data and/or Information related to a plurality of users with a score;
- and
- determining the product or service that is suitable for the user by utilizing the score, the determining comprising:
- deducing a feature in accordance with a field of the product or the service from the score;
- and
- determining the product or the service associated with the feature,
- wherein the method further comprises:
- adjusting an acquirable range of the data and/or Information related to the user, in response to an input by the user;
- and
- calculating the score such that the broader the acquirable range is, the more favorable the score becomes.
A non-transitory computer readable storage medium storing a program for determining a product or service that is suitable for a user, the program being executed in a computer system comprising a processor, the computer system being connected to a user terminal apparatus and a dispersed network, the user terminal apparatus and the dispersed network storing data and/or Information related to a user, the program causing the processor to perform processing comprising:
- communicating with the user terminal apparatus and the dispersed network to acquire data and/or Information related to a user;
- calculating a score that multidimensionally represents a characteristic of the user by inputting the acquired data and/or Information related to the user into a machine learning model, the machine learning model having learned a relationship between data and/or Information related to a plurality of users with a score;
- and
- determining the product or service that is suitable for the user by utilizing the score, the determining comprising:
- deducing a feature in accordance with a field of the product or the service from the score;
- and
- determining the product or the service associated with the feature,
- wherein the processing further comprises:
- adjusting an acquirable range of the data and/or Information related to the user, in response to an input by the user;
- and
- calculating the score such that the broader the acquirable range is, the more favorable the score becomes.
Dependencies are inferred from the claim text.