A mobile phone information push system and method based on user online log and location

Abstract

The invention relates to a system and a method for pushing mobile phone information based on a user surfing log and a user position. The method comprises the following steps of: step I, through analysis of user data, carrying out attention frequency ranking on attention points of a user, selecting the attention points which are concerned by the user to form real-time preference combination; step II, carrying out quantitative evaluation on the user attention degree of the preference combination by using a joint analysis method to obtain scores of preferences and the sum of utility of the preference combinations, evaluating the relevance degree between the preferences in the preference combinations according to the sequence of the sum of utility; step III, forming precise matching among the user preference combination, the user position and marketing information by using matching of user preference classification and enterprise marketing information classification and matching of geographical positions of a marketing information provider shop and the user. According to the system and the method, the accuracy of a conventional information pushing method is improved, the final customer feel is enhanced, and the preference degree of the user is evaluated objectively.

Description

technical field [0001] The invention relates to a mobile phone information push system and method based on users' online logs and locations, and belongs to the field of mobile communication precision marketing. Background technique [0002] With the development of the mobile communication industry and the popularization of smart phone terminals, the participation of mobile Internet users is getting higher and higher, and the marketing information push for mobile Internet users is also more and more favored by commercial marketing needs. The existing marketing information recommendation technology mainly obtains a large amount of user terminal hardware information or user movement trajectory information, and then uses the method of traditional Internet user log analysis, combined with a large number of historical records to obtain user preference information for a long period of time, and then Analyze information matching and triggering rules between user terminal type and ma...

AI Technical Summary

Problems solved by technology

In the process of pushing marketing information, existing technical means need to use a large amount of user historical data for analysis in order to pursue the accuracy of marketing information, and finally obtain user demand preferences, which may be a few days ago or even longer. According to user needs, it is impossible to provide users with corresponding accurate consumption and service recommendations according to the user's environment. The push of marketing information cannot achieve the effect of real-time analysis and real-time sending, resulting in a serious lag of actual marketing information.

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