Pushing method and device based on big data analysis

A push device and big data technology, applied in the field of big data analysis, can solve the problems of single analysis, difficult for users to customize push content and media promotion, insufficient utilization of user big data, etc. The effect of promotion

Inactive Publication Date: 2018-12-18
安徽大尺度网络传媒有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, only based on the user's browsing history and click history to analyze the user's usage preferences and favorite content types, the use

Method used

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  • Pushing method and device based on big data analysis
  • Pushing method and device based on big data analysis

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[0031] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0032] see figure 1 , figure 1 A schematic flowchart of a push method based on big data analysis provided by an embodiment of the present invention may include the following steps:

[0033] S101, collecting behavioral big data generated by the user terminal browsing the webpage, the behavioral big data includes: commented webpage content data, self comment data, liked comment data and clicked off comment data;

[0034] Specifically, the terminal may be a computer (desktop or laptop), tablet or smart phone. For example, on a news website, there is generally a comment interaction area at the bottom of the news pag...

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Abstract

The invention discloses a pushing method and a device based on big data analysis. The method comprises the following steps: collecting behavior big data generated by a user terminal when browsing a web page; wherein the behavior big data comprises: web page content data commented on, self-commented data commented on, commented data commented on and extinguished commented data commented on; storingthe behavior big data and analyzing the behavior big data to obtain a user portrait representing a user behavior habit; acquiring website content that reaches a specific threshold value with the degree of association with the user portrait, and pushing the website content to the user terminal. Compared with the prior art, the invention has the following advantages: collecting the browsed web pagecontent data and the interactive comment data of the user, analyzing the user behavior big data, obtaining the user behavior habit and preference, accurately pushing the website content related to the user habit preference, which is beneficial to news pushing and media promotion.

Description

technical field [0001] The present invention relates to the technical field of big data analysis, in particular to a push method and device based on big data analysis. Background technique [0002] With the rapid development of Internet technology, people are increasingly using the Internet to obtain information. Among the media community websites, many websites intelligently push the content that the users are interested in based on the browsing behavior of the users. However, only based on the user's browsing history and click history to analyze the user's usage preferences and favorite content types, the use of user big data is not sufficient, the analysis is relatively simple, and it is not easy to customize push content and media promotion for users. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a push method and device based on big data analysis. [0004] The present invention is...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06Q30/0255
Inventor 康恒志
Owner 安徽大尺度网络传媒有限公司
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