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Article recommendation method based on Chinese similarity calculation

A recommendation method and similarity technology, applied in the Internet field, can solve the problems of high cost of manual marking, small scope of application, poor recommendation diversity, etc., and achieve the effect of low cost of manual labeling, good recommendation diversity, and wide application range

Pending Publication Date: 2019-07-16
武汉掌游科技有限公司
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Problems solved by technology

Although relevant research can achieve certain results in some application scenarios, problems such as high complexity, small scope of application, high cost of manual marking, and poor recommendation diversity limit the application of article recommendation algorithms.

Method used

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  • Article recommendation method based on Chinese similarity calculation
  • Article recommendation method based on Chinese similarity calculation
  • Article recommendation method based on Chinese similarity calculation

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Embodiment Construction

[0073] Below will combine the appended in the embodiment of the present invention Figure 1-3 , clearly and completely describe the technical solutions in the embodiments of the present invention, obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] The embodiment of the invention discloses an article recommendation method based on Chinese similarity calculation, which can help Internet users to efficiently dig out interesting articles, has a wide application range, low manual marking cost, and good recommendation diversity.

[0075] Such as figure 1 As shown, an article recommendation method based on Chinese similarity calculation, the specific steps include:

[0076] Step 1: Use the Python crawler ...

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Abstract

The invention discloses an article recommendation method based on Chinese similarity calculation. The method comprises the following specific steps of crawling the main content of an article by utilizing a Python crawler program; obtaining a word vector according to the main content of the crawled article, and training; converting the article to be recommended into a word vector matrix; and converting the keyword word group of the user into a matrix, reading the word vector matrix converted from the article obtained in the previous step, carrying out standardized processing on the word vectormatrix data, carrying out the matrix calculation, and carrying out arrangement according to a similarity coefficient. The invention provides the article recommendation method based on Chinese similarity calculation, which can help an internet user to efficiently mine the interested articles, and is larger in application range, lower in manual marking cost and good in recommendation diversity.

Description

technical field [0001] The invention relates to the technical field of the Internet, and more specifically relates to an article recommendation method based on Chinese similarity calculation. Background technique [0002] With the continuous development of the Internet, people's living habits and lifestyles are undergoing revolutionary changes. The development of the Internet not only facilitates people's lives, but also greatly increases the channels for people to obtain information. China Internet Network Information Center (CNNIC) mentioned in the "36th Statistical Report on Internet Development in China" that as of June 2015, the number of online news users in my country was 555 million, of which the number of mobile phone network news users was 460 million; As an important application for information acquisition, online news ranks second in usage rate after instant messaging. [0003] In the social background of big data, search engines represented by Google and Baidu a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/63G06F16/64G06F17/27
CPCG06F40/284G06F16/3344G06F16/345G06F16/9535
Inventor 孙铭鸿
Owner 武汉掌游科技有限公司
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