Information recommendation method and system, equipment and storage medium

An information recommendation and storage technology, applied in the field of information processing, can solve the problems of lack of protection of user privacy information and historical record information, and achieve the effect of protecting user privacy

Pending Publication Date: 2021-12-03
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] 1. In the existing technology, there is a lack of protection

Method used

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  • Information recommendation method and system, equipment and storage medium
  • Information recommendation method and system, equipment and storage medium
  • Information recommendation method and system, equipment and storage medium

Examples

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated 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 application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0043] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ord

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Abstract

The invention discloses an information recommendation method and system, which are applied between a client and a server. The method comprises a user information collection step: the client divides user information into a plurality of user information groups, and independently stores the user information groups; a request sending step: when a user initiates a recommendation request at the client, the client extracts at least one group in the user information groups for random splicing, and after generating at least one user information combination, the user information combination is encrypted and sent to a server side; and a recommendation result step: after the server side decrypts the user information combinations, randomly distributing each user information combination to a plurality of recommendation servers, and returning a recommendation result to the client based on the user information combinations by the recommendation servers to finish information recommendation to the user. According to the method, dispersed storage of user privacy data is realized, and meanwhile, the recommendation effect of a recommendation system is considered.

Description

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Claims

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Application Information

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Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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