Disclosed are a cryptocurrency trading platform server providing customized cryptocurrency recommendation through machine learning based on customer information and purchase history of the cryptocurrency and operating a method thereof, in which after generating a conversion value for each of a plurality of cryptocurrencies using a personal information vector having a plurality of personal information conversion values as components, a first weight matrix, a second weight matrix, and an activation function, a loss value based on a loss function is calculated based on a conversion value for each of the plurality of cryptocurrencies and a purchase result value for each of the plurality of cryptocurrencies, and machine learning is performed to determine the first weight matrix and the second weight matrix so that the loss value is minimized, thereby supporting to recommend the customized cryptocurrency for each customer.
VIRTUAL CURRENCY TRADING PLATFORM SERVER PROVIDING CUSTOMIZED VIRTUAL CURRENCY RECOMMENDATION THROUGH MACHINE LEARNING BASED ON CUSTOMER INFORMATION AND PURCHASE HISTORY OF VIRTUAL CURRENCY AND OPERATING METHOD THEREOF