Accurate information distribution system and method based on Internet

Abstract

The invention discloses a precise information releasing system and method based on internet, which comprises the following parts: information gathering unit, information analyzing unit, information releasing unit, wherein the information gathering unit is used to gather internet access data of user; the information analyzing unit proceeds statistical analysis for the internet access data gathered by the information gathering unit, which builds the access rule set and user set; the information releasing unit affirms the corresponding user to rule element according to the released information, which proceeds automatic release for directional information without assembling random realizing information at user terminal; when the releasing information doesn' t exist, the normal internet surf is not influenced with different releasing patterns according to different information and user characters.

Description

technical field [0001] The invention relates to an Internet information technology, in particular to a technology for accurately delivering information to network users. Background technique [0002] The massive amount of data on the Internet has attracted a large number of Internet users, and the Internet has become an important way for people to obtain information in a timely manner. Because network information has the advantages of strong timeliness and low production cost, how to send effective network information to customers in need is the difficulty of network information delivery. [0003] The release of traditional Internet information is to place the information published on the Internet on the server of a specific website. Users need to search for these contents through search engines, and there are the following limitations: [0004] 1. The traditional user classification method only has a simple classification, and does not use modeling methods and rule element...

AI Technical Summary

Problems solved by technology

[0004] 1. The traditional user classification method only has a simple classification, and does not use modeling methods and rule element Tag methods to mine data

[0005] 2. Traditional user classification methods cannot learn new rules

[0006] 3. The information release party cannot actively release information through the website server

[0007] 4. Other active delivery technologies fail to intelligently filter the data, and cannot accurately locate the computer of a member of the virtual community

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