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 recommendation system thereof and, more specifically, to a method for recommending a product and a product recommendation system thereof. In order to recommend products through the analysis of big data collected based on the use information of user media by being formed to collect the use information of a user through various media, the collected information is analyzed as big data, and optimal products are recommended in real time. The product recommendation method through the analysis of big data collected based on the use information of user media and the product recommendation system thereof composes a matching system with a client which is any one medium among a smartphone, a smart TV, a desktop, a laptop, and a portable telecommunication device such as PDA, and a server connecting the client to a wired or wireless network as a plurality of subscribers so as to capture and transmit the current view screen of a user in a client side to a matching system, and recommend matching products by analyzing the interest of a user with text words through one path of extracting text data from html sources included in the transmitted data and another path of recognizing an image as text from an image, from which html sources are excluded, recognizing an object included in an image, or recognizing the face of a person included in an image.