Commodity recommendation method based on block chain, block chain node and system

A blockchain and recommendation algorithm technology, applied in the blockchain field, can solve problems such as single recommendation algorithm, small amount of data, and poor flexibility

Inactive Publication Date: 2019-01-04
SHENZHEN GENUINE INNOVATIVE TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the present invention, the inventor found that the traditional technology has at least the following problems: the historical purchase information of each user recorded by each merchant is closed and independent, and in advertising recommendation, due to the small amount of data and the relatively simple recommendation algorithm, each merchant’s The accuracy of advertisement recommendation is relatively poor, and the flexibility is relatively poor

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  • Commodity recommendation method based on block chain, block chain node and system
  • Commodity recommendation method based on block chain, block chain node and system
  • Commodity recommendation method based on block chain, block chain node and system

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Embodiment Construction

[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] Blockchain technology, also known as distributed ledger technology, is a distributed Internet database technology. The network built based on blockchain technology can be called a blockchain network. The blockchain network contains multiple blockchain nodes, each node corresponds to at least one blockchain, and each blockchain contains at least one block . Blockchain technology has the characteristics of decentralization, openness and transparency, non-tampering, and trustworthiness. Therefore, the application field of blockchain technology is becoming more and more extensive.

[0058] see...

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Abstract

The invention relates to the technical field of block chain, in particular to a commodity recommendation method based on block chain, a block chain node and a system. The method comprises the following steps of: receiving an access request sent by an ordinary node; selecting and executing an intelligent contract of a corresponding type in response to the access request according to the recommendation algorithm identification; summarizing all blocks into a history shopping list and send the history shopping list to the normal node. On the one hand, since the chunk chain is untamperable, with the characteristics of decentralization and high transparency, the merchant relies on the user history purchase information recorded in the block chain, and each merchant can share the user history purchase information on the block chain. Therefore, the amount of data of the user history purchase information on the block chain is relatively large, so that the merchant can more accurately recommend advertisements to the user. On the other hand, the block chain can also provide the corresponding user data for the merchant according to the recommendation algorithm selected by the merchant, in orderto facilitate the merchant to recommend advertisements more flexibly and accurately to the user.

Description

technical field [0001] The present invention relates to the technical field of block chains, in particular to a block chain-based product recommendation method, block chain nodes and a system. Background technique [0002] The traditional way of recommending product advertisements is mainly by capturing user data of your own website, or using web crawler technology to capture user data from other websites for big data analysis, so as to realize product advertisement recommendation. [0003] In the process of realizing the present invention, the inventor found that the traditional technology has at least the following problems: the historical purchase information of each user recorded by each merchant is closed and independent. In terms of advertisement recommendation, due to the small amount of data and the relatively simple recommendation algorithm, each merchant’s The accuracy of advertisement recommendation is relatively poor, and the flexibility is relatively poor. Con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q20/38
CPCG06Q20/389G06Q30/0631
Inventor 李文华
Owner SHENZHEN GENUINE INNOVATIVE TECH CO LTD
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