System and method for recommending shops-to-visit at off-line shopping malls based on customers' behaviors

摘要

The present invention relates to a system and method for recommending an offline shopping mall based on a behavior of a customer, and more particularly, to a system and method for recommending an offline shopping mall based on a behavior of a customer, capable of performing real-time customized marketing by accurately grasping the shopping intention and purchase desire of a user in the offline shopping mall, by grasping a similarity relationship between shopping mall stores by analyzing big data extracted from store visit histories of the users who visit the offline shopping mall in which various brands of shops (stores) are opened and gathered, such as a department store, an outlet mall, and a shopping center and reflecting the initial store visit history and residence time of an individual user on the day to provide a following optimized customized store recommendation service to the corresponding user.