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Method for searching and sequencing personalized web pages based on user retention time analysis

A technology of dwell time and web search, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of in-depth research without users' attention, and achieve the effect of accurate reading interest

Inactive Publication Date: 2011-11-02
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, in the current existing technology, there is no further research on the user's attention time (dwell time), especially how to further infer the user's reading interest in each topic based on the user's reading time on each document

Method used

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  • Method for searching and sequencing personalized web pages based on user retention time analysis
  • Method for searching and sequencing personalized web pages based on user retention time analysis
  • Method for searching and sequencing personalized web pages based on user retention time analysis

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Embodiment Construction

[0063] A method for ranking personalized web pages based on user dwell time, comprising the following steps:

[0064] 1) Obtain the user's dwell time on each webpage that the user has read;

[0065] 2) Represent each webpage that the user has read as a collection of several concept words;

[0066] 3) Infer the user's dwell time on each concept word;

[0067] 4) Estimate the user's interest in reading each webpage in the search results, and generate personalized webpage search results.

[0068] The steps for obtaining the user's dwell time on each webpage that the user has read are as follows:

[0069] a) Use a custom browser to record the user's stay time on each web page, that is, the time when the page is an active page; Time-focused web client software, or existing web browser plug-ins implemented through web browser plug-in technology to record the time a user spends on a specific web page;

[0070] b) Correct the collected user dwell time samples as follows:

[0071]...

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Abstract

The invention discloses a method for searching and sequencing personalized web pages based on user retention time analysis. The method comprises the following steps of: firstly, obtaining document-level user retention time through a custom web browser; accordingly, predicting concept word-level user retention time; then, according to the predicted concept word-level user retention time, further predicting personalized reading interests of a user to each web page in any web page searching result; and finally, according to the personalized reading interests of the user, generating a personalized web page searching result facing to the user. In the method disclosed by the invention, by using an artificial intelligent related technology and methods for searching web pages, processing texts and the like, reading interests of users to different concepts can be estimated; therefore, personal reading habits and requirements are considered in the process for searching and sequencing the web pages; and the sequencing of the web page searching results is closer to the user personalized prediction result, therefore, better network search and browser support are provided for users.

Description

technical field [0001] The invention relates to the fields of computer search, data mining and artificial intelligence, in particular to a method for searching and sorting personalized webpages based on user stay time. 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 "Auser-oriented webpage ranking algorithm based on user attention time" ("Auser-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. [0003] Existing personal...

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
Owner ZHEJIANG UNIV
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