NETWORK DEVICE, GENERATION METHOD, AND COMPUTER PROGRAM THAT IDENTIFY SIMILAR USERS BASED ON PHYSIOLOGICAL CHARACTERISTICS TO PREDICT EXPENSE TRENDS

摘要

Network devices, methods, and programs identify similar subjects based on physiological characteristics to predict income and expense trends. The devices, methods, and programs receive a user profile from a user terminal via a network interface, the user profile identifying physiological characteristics of the user and an age of the user, and compare the physiological characteristics of the received user profile with physiological characteristics in stored subject profiles to identify a subject having similar physiological characteristics to the user. The devices, methods, and programs analyze expense information that is associated with the identified subject to determine a trend of the expense of the identified subject, and generate a proposal including a predicted future expense trend for the user based on the determined trend and the user's age. The devices, methods, and programs then transmit the generated proposal to the user terminal via the network interface.