Data mining-based regional advertisement push system

Abstract

The present invention discloses a data mining-based regional advertisement push system. The system comprises a data acquisition module, a data processing module, an algorithm analysis module and a message push module; the data acquisition module acquires the historical desensitization data of an operator client in a certain region and the basic attributes of advertisements; after the data processing module performs preliminary induction processing, the algorithm module performs computing analysis; clustering results are matched with advertisement features; matching results are inputted to theinformation push module; and the information push module pushes personalized advisements to users in the region or a similar region according to obtained information. A data mining algorithm is analyzed; an appropriate algorithm is adopted to process data sets, and a triangular inequality is use to accelerate the convergence of the algorithm; ultimately, commercial advertisements are precisely pushed to tourists in the region and the similar region; and therefore, a solid foundation can be laid for the realization of scenic spot digital construction and the improvement of the accuracy of advertisement recommendation.

Description

technical field [0001] The invention relates to a data mining scenic spot advertisement push system, which is mainly used to realize data mining in the field of scenic spot informatization. Background technique [0002] With the development of the Internet and the popularization and updating of communication equipment, mobile terminals have become indispensable equipment for people, and the user scale of operators is gradually expanding. Faced with increasing existing and potential advertising audiences, more and more companies and advertisers are gradually digging deeper into the value of the advertising market. [0003] With the rapid development of information technology and the improvement of storage technology, the amount of data obtained by people has expanded rapidly, and data has gradually become an important resource for the strategic development of enterprises and countries. The domestic telecommunications industry has huge user data, which is an important asset a...

AI Technical Summary

Problems solved by technology

[0006] However, this recommendation method does not take into account the classification of user groups, and does not carry out targeted advertisements based on the common characteristics of a certain group of people. It cannot fully reflect the needs of users, and it cannot tap potential audiences at the same time. Feel disgusted by advertisements that you are not interested in, and may close an advertisement push channel

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