Intelligent pushing method and pushing system based on user demand characteristics

Abstract

The invention provides an intelligent pushing method based on user demand characteristics. The intelligent pushing method comprises: determining the number N of users pushed each time; sorting the users in the same type of user group, and selecting N users as pushing objects; establishing a user demand characteristic database and user group demand characteristic data, and selecting files pushed for multiple times from the user demand characteristic database and the user group demand characteristic database to form a first file set F1; selecting keywords pushed for multiple times from the userdemand characteristic database and the user group demand characteristic database to form a keyword set K2, and forming a second file set F2 by files corresponding to each keyword in the keyword set K2; and pushing the determinacy push file and the uncertainty push file to the push object.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence and information technology, in particular to an intelligent push method and push system based on user demand characteristics. Background technique [0002] With the increase in the amount of information, especially the sharp increase in the information available on the Internet, people are paying more and more attention to intelligent push technology. At present, the research on smart push mainly focuses on the description of the functions and modes of the smart push system, and how to implement the smart push system. [0003] The function of intelligent push: In terms of function, intelligent push methods can be divided into two types: customized information push and intelligent push. [0004] (1) Customized push of information [0005] For customized push, users only need to set the required information channel when they use it for the first time, and then do not need to perform other infor...

AI Technical Summary

Problems solved by technology

[0013]However, the intelligent push in the prior art is difficult to adapt to the changing network environment, and there are too many network user data, which leads to the paralysis of the server processing process. If it is simply reduced User data, and it is difficult to push accurate information

[0014] The intelligent push process in the prior art does not distinguish between the deterministic and uncertain needs of the user, and it is difficult to accurately grasp the user's preference for data push, and the prior art Intelligent push, poor adaptability, not conducive to multi-source information artificial intelligence management

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