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Commodity recommendation method and system for simple mixed privacy protection scene

A product recommendation and privacy protection technology, applied in the field of information processing, can solve the problems that cannot meet the privacy requirements of simple mixed scenarios, and achieve the effect of meeting privacy requirements

Pending Publication Date: 2022-01-21
百保上海科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing model, participants usually share product information and only protect their own user information and user product interaction information. Such a model cannot meet the privacy requirements of simple hybrid scenarios.

Method used

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  • Commodity recommendation method and system for simple mixed privacy protection scene
  • Commodity recommendation method and system for simple mixed privacy protection scene
  • Commodity recommendation method and system for simple mixed privacy protection scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] This embodiment provides a product recommendation method for simple hybrid privacy protection scenes, the product recommendation method is applied to the product recommendation party, figure 1 It is a flow block diagram of a product recommendation method for a simple hybrid privacy protection scene according to an embodiment of the present invention. like figure 1 As shown, the product recommendation method generally includes the following steps:

[0049]S10: After receiving the recommended request of the target user, obtain the user ID corresponding to the target user and sends the user ID to the aid;

[0050] Pre-stored users and corresponding user IDs in the product recommendation, one of the users who pre-stored in the commodity recommendation party. After receiving the recommended request issued by the target user, the product recommendary is acquired the user ID corresponding to the target user based on the pre-stored user and the corresponding user ID, and transmits ...

Embodiment 2

[0088] image 3 It is a structural block diagram of a product recommendation system for a simple hybrid privacy protection scene according to an embodiment of the present invention. like image 3 As shown, corresponding to the product recommendation method for the simple hybrid privacy protection scene, the second embodiment provides a product recommendation system for simple hybrid privacy protection scenarios, which generally includes acquisition module 10, calculated Module 20 and determination module 30. After the acquisition module 10 is used to obtain the user ID corresponding to the target user after receiving the recommended request to the target user, and send the user ID to the aid. The calculation module 20 is coupled to the acquisition module 10 for receiving a user representation of the auxiliary party feedback, and represents all the items obtained by the user and through the preset model to represent the candidate product, the user represents The auxiliary part is ca...

Embodiment 3

[0092] According to the above method, the present invention also provides a computer device, including:

[0093] Processors and memory, memory programs that can be run on can be run on the processor, and when the computer program is executed by the processor, a product recommendation method for simple hybrid privacy protection scenarios provided for simple hybrid privacy protection scenarios is performed.

[0094] in, Figure 4 The exemplary display of the computer device can include a processor 1510, a video display adapter 1511, a disk drive 1512, an input / output interface 1513, a network interface 1514, and a memory 1520. The processor 1510, the video display adapter 1511, the disk drive 1512, the input / output interface 1513, and the network interface 1514, and the memory boss can communicate with the memory bus 1530.

[0095] The processor 1510 can be implemented using a universal CPU (Central Processing Unit, Central Processor), Microprocessor, Application Specific Integra...

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Abstract

The invention discloses a commodity recommendation method and system for a simple mixed privacy protection scene, and relates to the technical field of information processing. The commodity recommendation method comprises the following steps: after a recommendation request of a target user is received, obtaining a user ID corresponding to the target user and sending the user ID to an auxiliary party; receiving user representation fed back by the auxiliary party, obtaining candidate commodities according to the user representation and all commodity representations obtained through calculation of a preset model, and obtaining the user representation through calculation of the auxiliary party according to user attributes obtained through the user ID and the preset model; and determining a target commodity from the candidate commodities according to a preset recommendation rule, and sending the target commodity to the target user. Accurate recommendation can be realized, and meanwhile, the privacy requirement of a simple mixed scene can be met.

Description

Technical field [0001] The present invention relates to the field of information processing, and in particular to a product recommendation method and system for a simple hybrid privacy protection scenario. Background technique [0002] The recommended scenario of simple hybrid privacy protection generally includes two common participants, one of which saves the interaction information of users and goods and the product properties, and the other saves the right user attribute. In the Privacy Society, in order to improve privacy, the product properties and user attributes of two common participants have no disclosure to each other. [0003] The existing model is usually a participant shared product information, which only protects the respective user information and user merchandise interaction information, which cannot meet the simple hybrid scene for privacy requirements. [0004] Therefore, how to achieve accurate recommendation, while meeting the simple hybrid scene on privacy ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F21/62
CPCG06Q30/0631G06Q30/0623G06F21/6245
Inventor 李雪峰梁亮
Owner 百保上海科技有限公司
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