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User information treatment and resource recommendation method and system in network environment

A network environment and user technology, applied in the direction of electronic digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problem of inability to obtain user emails, and achieve the effect of protecting privacy

Inactive Publication Date: 2012-08-15
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the system cannot get the complete content of the user's email, keywords can also show the user's interest

Method used

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  • User information treatment and resource recommendation method and system in network environment
  • User information treatment and resource recommendation method and system in network environment
  • User information treatment and resource recommendation method and system in network environment

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Experimental program
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Embodiment Construction

[0025] The basic idea of ​​the invention consists in transforming an initial vector representing information related to a user into a new vector using a specific transformation at the computing device of the relevant user, dividing the new vector into different parts, said transformation and / or The division has the property that the initial vector cannot be calculated according to any part; then each part is distributed to computers of different users to perform the operations required by the application scenario; finally, the results of each operation are concentrated in one computing device for Merge, and perform inverse transformation when necessary, so as to obtain the final result, which is the same as the result when the user's initial vector is used to perform the operation required by the application scenario. In this way, the result of the operation required by the application scenario is obtained on the user vector, and at the same time, no other user vector can be ob...

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Abstract

The invention discloses a user information treatment method and a system in network environment. The method comprises: a first vector and a second vector which represent information relevant to a first user and a second user are performed with orthogonal transformation on first user equipment and second user equipment so as to obtain a first changed vector and a second changed vector; the first changed vector and the second changed vector are respectively divided into a first part and a second part, wherein the first part or the second part of the first changed vector can not obtain the firstvector or a part of the first vector, and the first part or the second part of the second changed vector can not obtain the second vector or a part of the second vector; the first user equipment and the second user equipment exchange the first part of the first changed vector with the second part of the second changed vector; the first user equipment and the second user equipment respectively calculate the inner product of the first part and the inner product of the second part of the two changed vectors; and after being mutually exchanged, two inner products are added to serve as the inner product of the first vector and the second vector. The invention also discloses a method and a system for recommending resource to users in the network environment.

Description

technical field [0001] The present invention relates to user information processing in the network environment, especially the protection of user privacy in the network environment, and more specifically to a method and device for user information processing in the network, and a method for recommending network resources to users methods and systems. Background technique [0002] The vector inner product can represent the similarity and correlation between vectors, so it is widely used in machine learning, information retrieval (Information Retrieval), recommendation system (Recommender System), etc. For example, a recommender system in a network environment, by computing the inner product between users’ preference vectors to measure the similarity between them, thus discovering users’ neighbors and clustering users into groups. Cosine correlation and Pearson correlation (Pearson Correlation) are common similarity measures. Although their formulas are different, their esse...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F17/3069G06F16/3347
Inventor 张夏天赵石顽王涛袁泉傅荣耀高伟
Owner INT BUSINESS MASCH CORP