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 of recommending a product by analyzing a user's usage pattern and a system for recommending the same, and more particularly, collects user's usage information through various media and analyzes the collected information with big data to find an optimal product Smart phones, smart TVs, desktop computers, laptop computers, and portable information and communication devices (PDA, etc.) A client made of any one of media, such as a client, and a server that connects the client to a wired or wireless network using a plurality of subscribers, forming a matching system to capture the current viewing screen of the client-side user and transmit it to the matching system, and transmit the transmitted data One path to extract text data from the html source included in Individual product recommendation method and product recommendation system through big data analysis collected based on user media usage information, characterized in that it is made to recommend a matching product by analyzing the user's interest as a text word through the path of characterized by being.