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Website content combine recommendation system and method

A recommendation system and website technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as lack of "intelligence, limited function and effectiveness of recommendations"

Inactive Publication Date: 2009-07-29
辽宁般若网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] There are many content recommendation methods in the world, but most of them are relatively simple, lack of "intelligence", and the recommended functions and effectiveness are limited

Method used

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  • Website content combine recommendation system and method
  • Website content combine recommendation system and method
  • Website content combine recommendation system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The website content joint recommendation system consists of web page embedded code, access log, user information table, web page information table, representative word recommendation table, association recommendation table, personality orientation recommendation table, web page information management module, representative word recommendation table generation module, association table Composed of a generation module, a personality orientation recommendation table generation module, a representative word recommendation module, an associated recommendation module, a personality orientation recommendation module, a recommendation control module, and a recommendation display module;

[0048] The logic of the system is described as follows: "Representative word recommendation table generation module", "association table generation module", and "personality orientation recommendation table generation module" perform statistical analysis on "access log", "user information table"...

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Abstract

The invention relates to a system and a method for website content joint recommendation, wherein the system consists of web page embedded codes, an access log, a user information table, a web page information table, a representative word recommendation table, an association recommendation table, a personality-oriented recommendation table, a website information management module, a representative word recommendation table generation module, an association table generation module, a personality-oriented recommendation table generation module, a representative word recommendation module, an association recommendation module, a personality-oriented recommendation module, a recommended control module and a recommendation display module; the invention can automatically extract representative words of each web page, arranges recommendation order of other web pages with the core of one recommendation word, comprehensively utilizes current access information of the user, personal access historical information of the visitor and overall access information of website access to intelligently recommend the content of the website. The system and the method have higher automation and intelligence, can predict and estimate the direction of the next browser of the visitor more accurately, provide content recommendation for the visitor of the website, increases 'stickiness' of the website, and improve pageviews of the website greatly under the conditions that investments of ads of the website are not increased, and the original content of the website are changed.

Description

Technical field: [0001] The present invention is applied to website content recommendation, including various websites such as portal websites, e-commerce websites, and search engines. Background technique: [0002] The website content recommendation refers to the presentation form of giving the title and URL (webpage link address) of the relevant webpage for further browsing when displaying the currently browsed webpage. [0003] Users always visit websites with certain intentions. How to discover the intentions and interest orientations of users to provide indexes is the key to content recommendation. There may be a lot of content that users are interested in on the website, but "hidden" inside the website or distributed on the vast Internet, users cannot easily find it. The purpose of content recommendation is to discover and perceive the user's interest orientation, and actively and intelligently provide relevant content recommendations. In this way, users can easily o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 刘峰
Owner 辽宁般若网络科技有限公司
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