Goods Recommendation Method Conisdering User's Chracter Using User's Big Data in Network and Managing Server Used Therein

摘要

Disclosed are a method for recommending a customized product for each user using big data of a user on a network and a management server used therefor. According to the present invention, the method is implemented through processes of: allowing a management server to receive shopping mall use information of a user from a plurality of online shopping mall management servers; allowing the management server to search for shopping mall use information of a plurality of other users including shopping related activity information identical with shopping related activity information of the user included in the shopping mall use information of the user; and allowing the management server to create recommendation product information for the user based on the shopping related activity information included in the searched shopping mall use information of the other users. According to the present invention, a customized product for each user can be recommended in consideration of a shopping tendency of a shopping mall user.