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Anonymous Cross-domain Recommendation Based on Block Chain Technology

A recommendation method and blockchain technology, applied in the blockchain field, can solve the problems of user interest migration and change, cross-domain recommendation severe privacy security, etc., to achieve the effect of reducing privacy security, achieving compression and acceleration in computing

Active Publication Date: 2019-03-26
GUANGXI NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0006] 3. There are more serious privacy and security issues in cross-domain recommendation
Therefore, although cross-domain data fusion is expected to improve the recommendation effect or make recommendations in more complex scenarios, privacy issues have become the biggest concern of users.
[0007] 4. Problems such as the fusion of long-term and short-term interests of users and the migration of interests commonly exist in the current recommendation

Method used

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  • Anonymous Cross-domain Recommendation Based on Block Chain Technology

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Embodiment Construction

[0027] 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 combination with specific examples and with reference to the accompanying drawings.

[0028] An anonymous cross-domain recommendation method based on blockchain technology, the specific implementation process is as follows:

[0029] Step 1: Build blockchain data storage.

[0030] In order to ensure data security and reduce data storage pressure, this method uses a heterogeneous storage structure to store user information in the user chain, all users join the user chain, each user is assigned a user ID, and the hash function is used to obtain the Greek user ID; all merchant's products are added to the product chain, and each product is assigned a product ID, and the hash function is used to obtain the hash product ID. The platform stores the relationship chain, mainly the relationship between the user ID and ...

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Abstract

The invention discloses an anonymous cross-domain recommendation method based on block chain technology, A technology base on block chain adopts heterogeneous multi-link data structure to carry out data storage, Users, merchandise and transaction relationship data are stored on users, merchants and platforms respectively. Transaction relationship does not store specific user and commodity information. Recommendation center can only obtain the relationship chain stored by each platform to ensure that an attacker cannot associate a user with a commodity. Aiming at the cold start problem caused by data sparseness, the invention performs data aggregation and similarity calculation based on accurate transaction data, and adopts a mixed recommendation strategy based on users and commodities to perform cross-platform recommendation, so as to achieve a safe and accurate win-win recommendation effect.

Description

technical field [0001] The present invention relates to the technical field of blockchain, in particular to an anonymous cross-domain recommendation method based on blockchain technology. Background technique [0002] The recommendation system is one of the powerful data screening tools to cope with the explosive growth of information. It can actively recommend objects that are consistent with their interests in massive data and according to the user's bias. The object can not only be a commodity, but also some Services provided by merchants, such as travel services, ticketing services, meal ordering services and other leisure and entertainment services. At present, the recommendation system has been popular in various fields, and it has always been one of the research hotspots in academia. However, with the rapid growth of the user scale and the number of products, the most widely used collaborative filtering recommendation algorithm has a cold start problem due to data sp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F16/22
CPCG06Q30/0631
Inventor 王利娥李先贤李东城刘鹏
Owner GUANGXI NORMAL UNIV
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