Individual products through big data analysis using information collected on the basis of the user's media recommended methods and product recommendation system

摘要

The present invention relates to a method for recommending a product by analyzing a use pattern of a user and a product recommending system thereof, and more specifically, relates to an individual product recommending method and an individual product recommending system through analysis of big data collected based on use information on a user medium, recommending an individual product through analysis of big data collected based on use information of a user medium, which is configured to collect use information on a user through various media and analyze the collected information as big data to recommend an optimum product in real time. A matching system as a server connecting a plurality of clients as subscribers through a wired/wireless network is formed, each client formed by one of media such as a smartphone, a smart TV, a desk top computer, a laptop computer and a portable information communication device (a personal digital assistant (PDA) or the like). The current watching screen of a client, that is a user, is captured for transmission to the matching system. An interest of the user is analyzed as text words through one path for extracting text data from an html source included in transmitted html data and another path for recognizing an image as a text from an image excluding an html source, an object included in the image, or the face of a person included in the image, thereby recommending a matched product.