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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: 2011-11-16
NANJING UNIV OF POSTS & TELECOMM
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  • Claims
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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, whether it was clicked)

[0057] 011021

[0058] 002130

[0059] 002131

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

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

[0062] Step 1) Calculate formula 1-4 from the session file;

[0063] Step 2) Calculate formulas 5 and 6 of the former term and the latter term;

[0064] α i ( e ) = P ( C 1 j , . . . C i - 1 ...

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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, and judge and identify cheating webpages, belonging to the field of information security. Background technique [0002] Search engines are a bridge to the current Internet, and a tool for netizens to find information of interest in a large number of web pages. Due to the huge user traffic on the Internet, 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 object into a realistic advertising target object, which in turn leads to direct or indirect commodity purchase behavior. Compared with traditional advertising, the cost of this type of advertising is relatively low. As a result, a large number of small and medium-sized manufacturers who are eager to open the market but are unable to provide huge adv...

Claims

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Application Information

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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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