ELECTRONIC DEVICE FOR PERFORMING A PREDECTION FOR A PRICE OF A PRODUCT USING BIG DATA AND MACHINE LEARNING MODEL AND METHOD FOR OPERATING THEREOF

摘要

According to an embodiment of the present application, a method of operating a server includes: receiving a plurality of pieces of information for each product from an external server, wherein the plurality of pieces of information includes brand information for each product, a state for each product. Information, and price information for each product, and the status information includes at least one of a degree of discoloration, a degree of migration, a degree of tanning, a degree of scratches, a degree of abrasion, a degree of stain, a degree of lack of accessories, or a degree of repair at the time of transaction of the product. Extracting specific information for price prediction for each product based on at least one of information on a current point of time or a reputation for each product from among the plurality of pieces of information representing one; Generating a plurality of machine learning models for predicting prices for the products by using the specific information as training data; wherein each of the plurality of machine learning models includes first brand information for a specific product And identifying a connection of the electronic device to the server, configured to output price information for a specific product in response to receiving the first status information. And providing the plurality of machine learning models to the connected electronic device; including, in the electronic device, brand information on a first product and state information on the first product as the plurality of machine learning models. In response to the input, the plurality of machine learning models return price information for the first product, a method of operation is provided. Other various embodiments are possible.