Business site recommendation system and method based on multi-dimensional aggregation traffic analysis of user needs

Abstract

The invention discloses a business address recommendation system and method based on multi-dimensional aggregation flow analysis of user needs. The system includes an operator SP, a business BS, a mobile phone traffic aggregator MA, and a mobile phone user User; assuming that the statistical range is divided into m areas, Each area allows a maximum of n mobile phone users, and the data of each user is l-dimensional, that is, l mobile phone applications; the operator SP has only one and is a safe third party; the mobile phone traffic aggregator MA is used to collect and aggregate in real time The mobile application traffic data of users in all regions will be aggregated and then sent to the operator SP; the operator SP will store the aggregated traffic in different application databases after decryption, and the merchant BS will send a new facility to the operator SP as the queryer In the location query request, the operator SP recommends a location area that matches the application type of the merchant according to the new facility type of the merchant. The invention can ensure that the user's private information is not disclosed while recommending the location range for the merchant, and the security of the user information is ensured.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, specifically covers the technical field of user-oriented mobile phone traffic privacy protection and the technical field of location-based aggregation query, relates to a traffic aggregation method for protecting mobile phone user privacy, and analyzing user needs through multi-dimensional aggregated traffic Distribution, so as to assist merchants to find the location method of suitable area. Background technique [0002] As an essential tool for communication in people's daily life, mobile phones have become an indispensable part. The statistics and analysis of mobile phone traffic data not only provide users with better user experience, but also operators provide users with More accurate and effective marketing methods. However, the uploaded traffic data requires real-time monitoring of user traffic usage, which contains a lot of user privacy information, such as when the user is usi...

AI Technical Summary

Problems solved by technology

[0005] Most of the existing multi-dimensional aggregation schemes are used in the protection of user power data in smart grids, and do not reflect practical value from other aspects

Secondly, there are not many privacy protection applications based on mobile phone traffic, and the existing location selection schemes have not proposed in terms of the size of the aggregated data.

[0006] The existing location selection schemes are generally location-based selection methods. This method must obtain the location information of potential customers of the merchant, and the operator will also obtain the location information of mobile phone users. This requires both parties to ensure the location privacy information of their respective users. , and the two parties cannot share user information, this process is very complicated

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