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Webpage junk detection method based on dynamic Bayesian model

A dynamic Bayesian, detection method technology, applied in the field of information security, can solve problems such as user rejection

Inactive Publication Date: 2014-07-16
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the current search engine optimization technology is used by many short-sighted people, using some improper means of search engine optimization cheating, sacrificing user experience, and blindly catering to the defects of search engines to improve rankings. will be rejected by users

Method used

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  • Webpage junk detection method based on dynamic Bayesian model
  • Webpage junk detection method based on dynamic Bayesian model
  • Webpage junk detection method based on dynamic Bayesian model

Examples

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example

[0056] The session instance is as follows: (url number, clicked or not)

[0057] 011021

[0058] 002130

[0059] 002131

[0060] The first line of the session instance represents the first session, and returns 3 results, which are 011021. Every two numbers form a group, the first number in each group indicates the number of the URL, the second number indicates whether the corresponding URL is clicked, "0" means it is not clicked, and "1" means it is clicked. The second line represents the second session, and the third line represents the third session, in the same manner as above.

[0061] 3. Calculate attractiveness and satisfaction based on session files and the dynamic Bayesian model proposed by the present invention

[0062] Step 1) calculate formula 1-4 by session file;

[0063] Step 2) calculate formula 5,6 of preceding item and rear item;

[0064] α i ( e ) = ...

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Abstract

The invention discloses a webpage junk detection method based on a dynamic Bayesian model, which relates to a method for detecting a cheating webpage. The webpage junk detection method mainly uses an improved dynamic Bayesian network model for modeling for click actions of users, and judges and identifies the cheating webpage; and a search engine query log records interactive information of the users and a search engine, wherein the content of the interactive information comprises the information including query terms, websites returned by the search engine, websites clicked by the users, timestamp and the like. Information including the clicked websites, a clicking order thereof and the like in the log reflects user preference. The webpage junk detection method models for the log click actions, and excavates a clicking causal relationship between the websites in a list sequence returned back by the search engine, thereby explaining which websites are considered to be associated with the query terms from the view of the users, and obtaining the relativity between the websites and the query from the view of the users; and the relativity is a connotative feedback, so that the cheating website is ranked low, and related websites are ranked higher.

Description

technical field [0001] The invention relates to a method for detecting cheating webpages, which mainly adopts an improved dynamic Bayesian network model to model user click behaviors to judge and identify cheating webpages, and belongs to the field of information security. Background technique [0002] Search engine is a bridge leading to today's Internet, and it is a tool for netizens to find information they are interested in in massive web pages. Due to the huge user traffic on the web, this provides a huge potential market for advertising. The click-through rate of online advertisements as high as 3% or more can turn this potential target into a real advertising target, which in turn leads to direct or indirect commodity purchase behavior. The cost of this type of advertising is relatively low compared to traditional advertising. As a result, a large number of small and medium manufacturers eager to open up the market but unable to provide huge advertising fees became ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 张卫丰常成成田先桃张迎周周国强许碧欢陆柳敏
Owner NANJING UNIV OF POSTS & TELECOMM
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