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Personalized network resource recommended method based on network connection speed

A network resource and network connection technology, which is applied in the field of personalized network resource recommendation, can solve problems such as website influence and loss of value, and achieve the effect of a good Internet experience

Inactive Publication Date: 2009-12-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with such programs, web content providers' websites will be greatly affected because it is the automated programs that visit the web pages, not the end users, and thus, online advertisements will lose their value on these web pages

Method used

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  • Personalized network resource recommended method based on network connection speed
  • Personalized network resource recommended method based on network connection speed

Examples

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Effect test

Embodiment Construction

[0034] The personalized network resource recommendation method based on network connection speed includes the following steps:

[0035] 1) Use a custom browser to record the connection speed between the user and all the websites he has browsed;

[0036] 2) Using the obtained connection speed between websites, train an artificial neural network that can predict the connection speed between the user and any website;

[0037] 3) For the network resource that the user wants to visit, use the relevant search engine to find all the websites on the Internet that have the network resource;

[0038] 4) using the artificial neural network to predict the connection speed between the user and the website found in step 3);

[0039] 5) Sorting according to the connection speed between the user and all the websites found in step 3) from small to large, as the result of network resource recommendation.

[0040] The described steps of using a custom browser to record the connection speed b...

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Abstract

The invention discloses a personalized network resource recommended method based on network connection speed, comprising the following steps of: using a custom browser, and recording connection speed of a user and a browsed website; using obtained connection speed and training an artificial neural network which can predict the connection speed of the user and any website; operating a relevant search engine to find all the websites owning the resources on internet for the network resources wanted to be accessed by the user; using the artificial neural network to predict the connection speed of the user and all the found website; and sequencing all the found websites according to the connection speed of the user from large to small, which is used as a recommended result of the resources. The personalized network resource recommended method effectively uses the historical network access records of the user, applies an artificial intelligent method to predict the connection speed of the user and all the websites, combines the personal network condition of the user in the access process of the network, leads the use of the network resources to be capable of furthest using the bandwidth of the user and provides better experience of internet for the user.

Description

technical field [0001] The invention relates to the technical fields of computer search and the World Wide Web, in particular to a method for recommending personalized network resources based on network connection speed. Background technique [0002] In recent years, there have been a series of research activities to study personalized or user-oriented search engines and algorithms, such as published in the 16th International World Wide Web Conference in 2007 (WWW’07: Proceedings of the 16 th International conference on World Wide Web, "A large-scale evaluation and analysis of personalized search strategies". In an article "A user-oriented webpage ranking algorithm based on user attention time" ("A user-oriented webpage ranking algorithm based on user attention time") presented at the 23rd American Association for Artificial Intelligence conference in 2008, the author also proposed Build a personalized solution for a user-oriented web search engine. The present invention ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 徐颂华江浩刘智满潘云鹤
Owner ZHEJIANG UNIV
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