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Webpage type recognition method and webpage type recognition device

A webpage type and identification method technology, applied in the field of type identification, can solve the problems of large amount of calculation, high time consumption, coverage and calculation amount limitation, etc., and achieve the effect of high real-time performance, high efficiency, and wide coverage

Active Publication Date: 2014-03-12
深圳市雅阅科技有限公司
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AI Technical Summary

Problems solved by technology

The disadvantage is that the amount of calculation is large and time-consuming, and it is difficult to meet some systems that have very high real-time requirements for web page recognition.
It can be seen that the above two methods have certain limitations in terms of coverage and calculation, and cannot meet the requirement of real-time web page type recognition system

Method used

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  • Webpage type recognition method and webpage type recognition device
  • Webpage type recognition method and webpage type recognition device
  • Webpage type recognition method and webpage type recognition device

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Embodiment Construction

[0011] In order to further explain the technical means and effects that the present invention adopts to achieve the intended purpose of the invention, the specific implementation and structure of the webpage type identification method and webpage type identification device proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments , features and effects, detailed as follows.

[0012] The aforementioned and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of the preferred embodiments with reference to the drawings. Through the description of specific implementation methods, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically, but the attached drawings are only for reference and description, and are not used to explain the present i...

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Abstract

The invention relates to a webpage type recognition method and a webpage type recognition device. The webpage type recognition method includes the steps of receiving a webpage address of a webpage to be tested, analyzing the webpage address to obtain a constituent part of the webpage address, judging whether the constituent part of the address of the webpage to be tested is matched with a webpage classification rule or not, classifying the webpage to be tested according to the webpage classification rule to obtain the webpage type of the webpage to be tested if the constituent part of the address of the webpage to be tested is matched with the webpage classification rule, and sending the webpage address of the webpage to be tested to a webpage classification device to be classified to obtain the webpage type of the webpage to be tested if the constituent part of the address of the webpage to be tested is not matched with the webpage classification rule. According to the webpage type recognition method and the webpage type recognition device, under the condition that only the webpage address is used, the webpage type can be forecast, the forecast speed is high, and the instantaneity is high.

Description

technical field [0001] The invention relates to the technical field of type identification, in particular to a web page type identification method and a web page type identification device. Background technique [0002] With the rapid development of the Internet, the type identification of World Wide Web "WWW" web pages has also become an essential task. Currently, there are mainly two methods for web page type identification: the first method is based on artificial rules and strategies. It mainly uses expert domain knowledge to organize and classify web pages. This method is especially suitable for identifying web page types with a known range, and has the advantages of good recognition effect and fast speed. The disadvantage is that its scalability is poor. When the range of webpages to be identified is very large, it is difficult to process massive data due to insufficient manpower. The second is text classification methods, such as naive Bayesian, SVM, etc., which hav...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/30G06F16/95G06F16/955G06Q30/0204G06F16/954G06F16/958
Inventor 蔡兵
Owner 深圳市雅阅科技有限公司
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