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Method and device for obtaining article association degree data

A technology of relevance and data, applied in the Internet field, can solve the problem of being unable to accurately determine the relevance of articles and keywords, and achieve the effect of accurate determination

Active Publication Date: 2016-10-19
BEIJING GRIDSUM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The main purpose of the present invention is to provide a method and device for obtaining article relevance data, so as to solve the problem in the prior art that the relevance degree of articles and keywords cannot be accurately determined

Method used

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  • Method and device for obtaining article association degree data
  • Method and device for obtaining article association degree data
  • Method and device for obtaining article association degree data

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Embodiment Construction

[0025] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0027] It should be noted that the terms "fir...

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Abstract

The invention discloses a method and a device for obtaining article association degree data. The method comprises: obtaining preset keywords and a plurality of to-be-analyzed texts, wherein each to-be-analyzed text is corresponding to a plurality of first text labels; counting derivative keywords of the preset keywords, corresponding to the plurality of to-be-analyzed texts; determining first number of times that the preset keywords appear in the plurality of to-be-analyzed texts and second number of times that the derivative keywords appear in the plurality of to-be-analyzed texts; determining second text labels which are matched with the preset keywords in the plurality of first text labels in each to-be-analyzed text; based on the label index data of the second text labels of each to-be-analyzed text, the first number of times of the preset keywords, and the second number of times of the derivative keywords, calculating association degree data of the preset keywords and each to-be-analyzed text. The method solves problems in the prior art that association degree of an article and keywords cannot be accurately determined, and realizes effect of accurately determining association degree of an article and keywords.

Description

technical field [0001] The present invention relates to the field of the Internet, in particular to a method and device for acquiring article relevance data. Background technique [0002] In the prior art, the method of searching related articles by keywords and sorting them is simply realized according to whether the keyword appears in the article, the position of the keyword in the article and the number of occurrences of the keyword, specifically , this method of finding articles is similar to searching for keywords in search engines such as Baidu or Google. For example, if the keyword is "big data", then when searching for articles related to "big data", according to Whether "big data" appears in the article, the number of times "big data" appears in the article, and the position where "big data" appears in the article determine the degree of correlation between the article and "big data" and rank from high to low according to the degree of correlation Sorting related a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 陈俊宏余德乐杨韬赵冬玲
Owner BEIJING GRIDSUM TECH CO LTD
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