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User analysis method and server applied to big data mining

A technology of big data and user interest, applied in the field of big data, it can solve problems such as multi-resource overhead, difficulty in ensuring knowledge base expansion quality, and consumption.

Inactive Publication Date: 2022-06-21
赵华雷
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, after long-term research and analysis on the knowledge base, the inventors found that in order to meet the increasingly changing needs of big data mining, it is usually necessary to expand and optimize the existing knowledge base, but related technologies are difficult to guarantee the integrity of the knowledge base Extended quality, on the other hand, will consume more resource overhead

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  • User analysis method and server applied to big data mining
  • User analysis method and server applied to big data mining
  • User analysis method and server applied to big data mining

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the protection scope of the present disclosure. In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which thi...

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Abstract

The embodiment of the invention discloses a user analysis method applied to big data mining and a server. According to the invention, for the first knowledge unit expansion strategy used for expanding the target user interest knowledge base, only the reference type user interest knowledge base obtained based on the target user interest knowledge base needs to be adjusted and optimized; therefore, the problem of use habit difference between different use terminals (such as different service provider platform systems and different service safety supervision systems) of the user interest knowledge base can be improved, and the extension quality of the target user interest knowledge base can be matched with the initial topological structure of the target user interest knowledge base. Therefore, the target user interest knowledge base is enriched as much as possible on the basis of guaranteeing the original knowledge content of the target user interest knowledge base, a large number of knowledge base templates do not need to be collected to adjust and optimize the first knowledge unit extension strategy, and unnecessary resource overhead is saved to a certain extent.

Description

technical field [0001] The present disclosure relates to the technical field of big data, in particular to a user analysis method and server applied to big data mining. Background technique [0002] User analysis in the era of big data is ubiquitous. User analysis can provide accurate and reliable processing basis for product optimization and service upgrade, so that high-quality products and services can be better applied to people's daily production and life. [0003] With the continuous development of user analysis / user behavior analysis (Analysis of Users' Behavior) technology, some technologies are now widely used. As one of the important means of user analysis / user behavior analysis, the knowledge base (Knowledge Base) is indispensable. However, after long-term research and analysis on the knowledge base, the inventors found that in order to meet the increasingly changing needs of big data mining, it is usually necessary to expand and optimize the existing knowledge ...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/2453G06F16/28
CPCG06F16/2465G06F16/284G06F16/2453
Inventor 赵华雷
Owner 赵华雷