Webpage mailbox identification classifying method and system

A technology for identifying and classifying webmails, which is applied in the field of identifying and classifying webmail contents, can solve the problems of unable to classify and display webmails and obtain content of webmails, and achieve the effects of easy implementation, accurate analysis and recognition, and convenient and simple methods

Active Publication Date: 2011-01-05
SURFILTER NETWORK TECH
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that, aiming at the defect that the existing mail client program of the local computer cannot obtain the content of the web mail, let alone classify and display the web mail according to the content of the web mail, it provides a The analysis of characteristic strings establishes classifications based on the webpage addresses of webpage mailboxes, and establishes characteristic string analysis engines based on different classifications. When users send and receive emails, they can distinguish and extract webpages by identifying webpage address links Mailbox identification and classification method and system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Webpage mailbox identification classifying method and system
  • Webpage mailbox identification classifying method and system
  • Webpage mailbox identification classifying method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] Such as figure 1 As shown, in the flow diagram of the first preferred embodiment of the method for identifying and classifying webpage mailboxes of the present invention, the method for identifying and classifying webpage mailboxes starts at step 100; The engine recognizes the category of the webpage mailbox of current visit; Then, to the next step 102, according to the category of the webpage mailbox, call the corresponding analysis engine to extract the mail content corresponding to the feature string; then, to the next step 103, to the next step 103, The above-mentioned mail contents are...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention constructs a webpage mailbox identification classifying method. The method comprises the following steps: S0, reading the webpage address of the webpage mailbox and a characteristic string of a mail content in the webpage mailbox, and establishing an identifying engine and an analysis engine according to the webpage address and the characteristic string; S1, calling the identifying engine to identify the type of the currently visiting webpage mailbox when a user receives and sends a mail; S2, calling the corresponding analysis engine to extract the mail content corresponding to the characteristic string according to the class of the webpage mailbox; and S3, presenting the mail content in classes. The invention also constructs a webpage mailbox identification classifying system. The webpage mailbox identification classifying method and system are adopted to establish classification by analyzing the characteristic string in the mail content according to the webpage address of the webpage mailbox and the webpage address of the webpage mail, establish the characteristic string analysis engine according to different classifications, and complete differentiation and content extraction by identifying link of the webpage address when the user receives and sends the mail.

Description

technical field [0001] The present invention relates to network security and network content extraction technology, more specifically, to a method and system for identifying and classifying web mailbox content when extracting web mailbox content Background technique [0002] With the increase of Internet applications, e-mail has become an important means for users to communicate through the network. With the development of web technology, web mail, as a client, has the characteristics of being able to run without installation. When using a webmail to send and receive emails, the email data directly passes through the network and is not stored in the local computer; therefore, the traditional method of reading email content from the mail client program of the local computer cannot obtain the content of the webmail, let alone Classify and display web mails according to the content of web mails. Contents of the invention [0003] The technical problem to be solved by the pre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30
Inventor 景晓军沈智杰杨仲夫
Owner SURFILTER NETWORK TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products