Webpage classification method and webpage classification system

Abstract

The invention aims at providing a webpage classification method and a webpage classification system, wherein the method comprises the following steps that: a webpage-to-be-classified obtaining device receives a domain name input by a user, and obtains an URL (Uniform Resource Locator) corresponding to a webpage of breadcrumb to be crawled on the basis of the domain name; a breadcrumb crawling device crawls the breadcrumb of the webpage on the basis of the URL; and a webpage classifier classifies the webpage on the basis of the crawled breadcrumb. Compared with the prior art, the method and the system have the advantages that the breadcrumb is extracted from the webpage on the basis of the domain name; the webpage is classified; and the webpage classification accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical field of Internet applications, in particular to a web page classification method and system. Background technique [0002] With the expansion of Internet information demand, targeted delivery of information has become a trend. In order to deliver information in a more targeted manner, it is necessary to conduct attribute analysis or label definition of the crowd on the Internet, which is mainly analyzed by judging the type of media web pages visited by users. Among them, common methods for classifying media webpages mainly include: [0003] 1) Use the character string of url (Uniform Resource Locator) to classify, for example, use the character string "sports" in sports.qq.com to classify the webpage into the sports category; [0004] 2) Manual identification, where experienced personnel classify webpages according to webpage content; [0005] 3) Identifying the frequency of keywords in webpage content, mainly...

AI Technical Summary

Problems solved by technology

[0006] Among the above classification methods, method 3) is realized by algorithms such as machine learning, and its accuracy is relatively low; method 2) has high accuracy but low efficiency; method 1) although the efficiency and quality are good, but for the main However, there is nothing to be done about the webpage classification of the url represented by date or data, and the traffic of such webpages is often very large, such as webpages in video websites, e-commerce websites, and blog websites, etc.

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