Information individualized recommendation method based on Web log data

Abstract

The invention discloses an information individualized recommendation method based on Web log data, and belongs to the technical field of electronic information. The method is used for an information mode of a server plus a broadband network plus a multimedia thin client side. The method includes the steps that users have access to internet sources through the multimedia thin client side, and theserver records the behaviors of the users into server log files; clean, regular and accurate data sources are extracted through analysis and preprocessing of data of the Web log files in the server; a user interest matrix is built through a collaborative filtering technology, similarity between the users is calculated, and the users with large similarity are selected as similar users; a recommendation resource pool is built according to hobbies and interests of the similar users; the server selects and recommends pages of which the recommendation value is larger than the threshold value in the recommendation resource pool to the users. The method has the advantages that the data in the Web log files are preprocessed to acquire the clean and regular data sources, and accurate and individualized information recommendation is provided for the users by the cooperation of the hobbies and the interests of the similar users.

Description

technical field

[0001] The invention relates to an information personalized recommendation method based on Web log data, belonging to the technical field of electronic information. Background technique

[0002] With the rapid development of the Internet, a large number of web pages are updated or released on the Internet every day. It is becoming more and more difficult for the majority of users to find satisfactory information in a large amount of information, which leads to the contradictory phenomenon of "information excess" and "information hunger". In order to solve this problem, personalized information service is proposed, which is an intelligent information service method. According to the user's information needs and personalized mode, it can actively search for relevant information, and use the online intelligent recommendation service or push technology to accurately deliver the information required by the user to the corresponding user. In the personalized serv...

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