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Methods of Information Recommendation based on Analysis of User's Information Preferences and Measurement of Information Popularity on the Internet and the System thereof
Methods of Information Recommendation based on Analysis of User's Information Preferences and Measurement of Information Popularity on the Internet and the System thereof
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机译:基于用户信息偏好分析和互联网信息流行度的信息推荐方法及其系统
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摘要
PURPOSE: A method for recommending information by analyzing preference of users and evaluating popularity of information contents and a system therefor are provided so that the users can receive wanted information without performing Internet search or site surfing by providing information including contents relating to the users' interests to the users in a real time. CONSTITUTION: An Internet information tracking server(20) tracks new information on an Internet(10) by employing a web robot agent, and collects new contents pages. A text contents analyzing and key word extracting server(30) analyzes the contents of the pages collected by the Internet information tracking server(20), and extracts key words. An information recommending server(40) compares the key words of users and contents similarity of the information, and provides information suitable for the users. A webpage contents and medium database management server(50) manages the web page contents collected and analyzed by the Internet information tracking server(20) and the text contents analyzing and key word extracting server(30), and also manages a medium database. An information evaluating and contents ranking server(60) inserts the information which the information recommending server(40) provides to the users, and decides ranking of the information.
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