Personalized recommendation system and method based on block chain

Abstract

The invention discloses a personalized recommendation system and method based on a block chain, and belongs to personalized recommendation based on a block chain. In order to solve the technical problem of how to realize accurate recommendation of information on the premise of improving the security of user behavior data and reducing the data maintenance cost, the adopted technical scheme is as follows: the system comprises a block chain platform deployment module, a user behavior data uploading module, a user clustering module and a personalized recommendation module. The method specificallycomprises the following steps: deploying a block chain, wherein users of an e-commerce platform are noted as an organization of the block chain platform, and each block of the block chain records behavior data of the user and encrypts the behavior data of the user; writing the user behavior data into a block chain; clustering the users; and performing personalized recommendation, wherein feature indexes of the user cluster are extracted, and the advertorial and the commodity are accurately recommended to the user according to the feature indexes of the user cluster.

Description

technical field [0001] The invention belongs to the field of personalized recommendation based on block chain, and relates to the realization of advertorial and product recommendation technology in the e-commerce system, in particular, a personalized recommendation system and method based on block chain. Background technique [0002] In the Internet era, all major e-commerce platforms collect user behavior data through some technical means, and through data analysis, tap the hidden value in the data to realize personalized recommendation of information. However, user data is generally stored in traditional centralized databases, and incidents caused by data leakage occur from time to time, which seriously endanger the lives and property safety of users. Therefore, it is particularly important to implement a set of highly secure personalized recommendation methods. [0003] However, the traditional technical solution based on the centralized system will have the following ma...

AI Technical Summary

Problems solved by technology

[0004] (1) The traditional data storage process is centrally managed by a certain organization. As long as you have the authority, you can obtain all the data in the database, which makes the hacker's attack target more clear. Once successful, all data will be leaked, and the user's personal property will be damaged. Threats, in serious cases, will affect national security;

[0005] (2) The data of the traditional database is stored in a single location. If there is a failure such as network disconnection, the data will be temporarily unavailable, which will affect the normal business process, and the fault tolerance mechanism of the traditional database depends on the complex technical architecture. The configuration is also cumbersome and the maintenance cost is high

However, this technical solution cannot achieve accurate recommendation of information on the premise of ensuring the security of user behavior data and reducing data maintenance costs

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