An Information Push Method Based on Internet Log Mining and User Activity Recognition

Abstract

The invention discloses an information push method based on internet-surfing log mining and user activity recognition.The method includes a data preprocessing stage, a potential pushing user screening stage and a timely push stage.The data preprocessing stage comprises a webpage portrait, webpage level classification and a user portrait.In the potential pushing user screening stage, similarity between new information and historical web pages which users have access to is solved through a method based on matrix decomposition, and potential pushing users who may be interested in the new information are screened out.The timely push stage includes situational information acquisition and activity recognition based on a mobile intelligent device, and information timely pushing adaptive to the activity situation.By mining internet-surfing log data, potential users interested in information are found, when new information is generated, the new information is pushed to the potential users in good time, and therefore information push efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of information push, in particular to an information push method based on online log mining and user activity identification. Background technique [0002] With the gradual deepening of the Internet age, "information explosion" and "information island" have become a pair of contradictions that people face when they need information. On the one hand, the speed of information generation is very fast, and new information is constantly flowing; on the other hand, people seem at a loss in the face of complex and huge information. In this context, the information push service has a huge room for development. Information push service is to use push technology to automatically search for information that users are interested in on the Internet, and actively push it to users. It can also be called a network information service based on the "push" model. [0003] Pushing different information to different users that...

AI Technical Summary

Problems solved by technology

But the premise of this method is that the user has used the information push service for a period of time, so there is a cold start problem, and those users who use it for the first time cannot get personalized information push

In addition, traditional personalized information push methods often do not consider whether the user's current situation is suitable for receiving information, and push information to users anytime and anywhere, resulting in poor user experience

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