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An industry clustering digital resource use value rating method based on semantic compatibility

A digital resource and semantic technology, applied in the field of industry clustering digital resource use value rating based on semantic compatibility, can solve vicious competition, confuse the content of network digital resources themselves, submerge and other problems, and achieve the effect of copyright protection

Inactive Publication Date: 2019-02-19
苏州黑云智能科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the current mainstream network digital resource value rating method, the index of network digital resource links being cited by others is simply used as the basis for rating. , adding many useless links to the webpage to increase the number of times you are cited by others. On the other hand, there are too many links in the digital resources, so that the text "noise" of the links may drown and confuse the content of the network digital resources themselves. propensity, such as pages being crawled because of links added to them rather than their own content

Method used

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  • An industry clustering digital resource use value rating method based on semantic compatibility
  • An industry clustering digital resource use value rating method based on semantic compatibility
  • An industry clustering digital resource use value rating method based on semantic compatibility

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Embodiment Construction

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention.

[0055] An industry clustering digital resource use value evaluation method based on semantic compatibility disclosed in the embodiment of the present invention mainly provides a digital resource use value evaluation method that is difficult to optimize artificially and really depends on people's use process; the method It mainly consists of calculating semantic percentage, calculating relative semantic compatibility, calculating overall semantic compatibility, calculating citation cost, calculating copyright, calculating original influence, calculating digital resource clustering based on semantic compatibility, calculating digital resource industry ranking, Computing industry clustering levels for digital resources is done.

[0056] Scenario assumptions:

[0057] Network digital res...

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Abstract

The invention provides an industry clustering digital resource use value rating method based on semantic compatibility, which is used for evaluating the importance of the digital resource in the industry field in the whole network scope. The method comprises the following steps: S1 calculating a semantic percentage; S2, calculating relative semantic compatibility; S3, calculating the overall semantic compatibility; S4, calculating the reference cost; S5 computing copyright; S6 Computing original influence; S7, computing digital resource clustering based on semantic compatibility; S8 Computingthe industry ranking of digital resources; S9 Computing the industry clustering level of digital resources. The invention provides an importance evaluation method based on use value semantics for digital resources on the network, which is more objective and fairer.

Description

technical field [0001] The invention relates to the use value rating of network digital resources, in particular to a method for rating use value of industry clustering digital resources based on semantic compatibility. Background technique [0002] In the current mainstream network digital resource value rating method, the index of network digital resource links being cited by others is simply used as the basis for rating. , adding many useless links to the webpage to increase the number of times you are cited by others. On the other hand, there are too many links in the digital resources, so that the text "noise" of the links may drown and confuse the content of the network digital resources themselves. Bias, such as web pages being crawled because of links added to them rather than their own content. The real value of online digital resources is reflected in the use of its original parts. Based on the degree of semantic compatibility, the present invention implements a ...

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Application Information

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IPC IPC(8): G06Q10/06G06F21/10G06F17/27G06K9/62
CPCG06F21/10G06Q10/06393G06F40/30G06F18/23
Inventor 谢绍韫
Owner 苏州黑云智能科技有限公司