Information processing system, server, non-transitory computer-readable storage medium, and method for processing information

A server, comprising:

• a communication device configured to communicate with a vehicle and a terminal device of a user, the vehicle being configured to capture an image of clothing and accessories of the user at a time when the user gets in the vehicle to generate a clothing and accessories image;
• and
• a processor configured to:
• train a supervised learning model by using weather information at the time the user gets in the vehicle as input data, and clothing and accessories information indicating recognized clothing and accessories as training data,
• determining schedule information of the user for a next time the user gets in the vehicle based upon probe data obtained from the vehicle,
• acquire weather information for the next time the user gets in the vehicle,
• estimate clothing and accessories according to the weather information for the next time the user gets in the vehicle by using the trained supervised learning model, and
• send clothing and accessories recommendation information indicating the estimated clothing and accessories to the terminal device of the user via the communication device if it is determined, based on the schedule information of the user for the next time the user gets in the vehicle, that it is a predetermined time before the next time the user gets in the vehicle.

A non-transitory computer-readable storage medium having stored in the non-transitory computer-readable storage medium a program that causes an information processing device to execute an information processing process of the information processing device, the information processing device being configured to communicate with a vehicle and a terminal device of a user, the vehicle being configured to capture an image of clothing and accessories of the user at a time when the user gets in the vehicle to generate a clothing and accessories image, and the program causing the information processing device to execute the information processing process, the information processing process including:

• training, by the information processing device, a supervised learning model by using weather information at the time the user gets in the vehicle as input data, and clothing and accessories information indicating recognized clothing and accessories as training data;
• determining, by the information processing device, schedule information of the user for a next time the user gets in the vehicle based upon probe data obtained from the vehicle;
• acquiring, by the information processing device, weather information for the next time the user gets in the vehicle;
• estimating, by the information processing device, clothing and accessories according to the weather information for the next time the user gets in the vehicle by using the trained supervised learning model;
• and
• sending clothing and accessories recommendation information indicating the estimated clothing and accessories from the information processing device to the terminal device of the user if it is determined, based on the schedule information of the user for the next time the user gets in the vehicle, that it is a predetermined time before the next time the user gets in the vehicle.

A method for processing information, the method being performed by an information processing system including a vehicle and a server, the vehicle including an imaging device that captures an image of a user of the vehicle, and the server being configured to communicate with the vehicle and a terminal device of the user of the vehicle, the method comprising:

• capturing, by the vehicle, an image of clothing and accessories of the user at a time when the user gets in the vehicle to generate a clothing and accessories image;
• recognizing, by the vehicle or the server, the clothing and accessories of the user from the clothing and accessories image;
• training, by the server, a supervised learning model by using weather information at the time the user gets in the vehicle as input data, and clothing and accessories information indicating the recognized clothing and accessories as training data;
• determining, by the server, schedule information of the user for a next time the user gets in the vehicle based upon probe data obtained from the vehicle;
• acquiring, by the server, weather information for the next time the user gets in the vehicle;
• estimating, by the server, clothing and accessories according to the weather information for the next time the user gets in the vehicle by using the trained supervised learning model;
• and
• sending clothing and accessories recommendation information indicating the estimated clothing and accessories from the server to the terminal device of the user if it is determined, based on the schedule information of the user for the next time the user gets in the vehicle, that it is a predetermined time before the next time the user gets in the vehicle.