An optimization method for campus message push based on gis system

Abstract

A campus message push optimization method based on GIS system. First, according to the personal information of campus members, the decision tree classification algorithm is used to classify members into corresponding groups, and then based on the GIS system, the campus information behavior of campus members is counted, and the characteristics are classified and given. Each feature is given a certain weight, and then the redundant information in the campus push messages is removed through big data technology, and the classification results are classified according to the characteristics of campus members, and then an analysis model is constructed. Finally, different campus members are classified according to the weight and interest characteristics. Push different messages. The present invention can meet the push message requirements of different campus members.

Description

technical field

[0001] The invention relates to the fields of Internet, smart campus, big data processing, and computer application, and in particular to a method for optimizing campus message push based on a GIS system. Background technique

[0002] In the era when the Internet was popular, the Internet has the characteristics of multi-source production factors and the integration of many resources, and gradually integrates with various fields of society. The Internet has gradually become an indispensable part of social development. In this context, an Internet development The new form of the Internet is the popular "Internet +" mode. Under the background of today's "Internet +", the Internet is not only closely related to various economic industries, but also plays an important role in the construction of smart campuses.

[0003] As science and technology penetrate into various industries, as a university with a concentration of science and technology industries, the tech...

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