An Intelligent Classification Method for Content Publishing Based on Classification Decision Tree

Abstract

The invention provides an intelligent classification method for content publishing based on a classification decision tree, which belongs to the fields of content management systems and data mining. The general framework of the system applied by the method includes: a content data acquisition module, a classification strategy module, and a classification decision tree training module; the method combines the supervised learning method of machine learning, and uses the existing content information in the content management system as a training data set , and use this training data set to generate a classifier based on a decision tree learning algorithm; all published content is based on the same publishing path, and after publishing, the classifier judges the type of the published content according to the feature value of the published content, thus completing the entire publishing process. The present invention improves the user experience of content publishing. The category of published content is judged by the system, not selected by the user, and the publishing process is more intelligent.

Description

technical field [0001] The invention belongs to the fields of content management system (Content Management System) and data mining (DataMining), and specifically relates to an intelligent classification method for content release based on a classification decision tree, which is applied to and innovates the intelligent classification mechanism of the content release process, based on the existing content The classification decision tree configuration information generated by the information is used to automatically and intelligently classify the newly released content of the user, so as to improve the user's content publishing experience under the premise of ensuring efficiency. Background technique [0002] With the widespread popularization of the Internet, especially the rapid development of social networks, not only the amount of network information has exploded, but also the types of content have become more abundant. For an enterprise, organization, or a social sharin...

AI Technical Summary

Problems solved by technology

These different ways of publishing have brought a lot of inconvenience: 1) From the perspective of front-end experience, users need to manually select content types, and the page needs to provide entry links for all types of content publishing; the more types, the more screens required The larger the space, the greater the impact on mobile smart terminals

2) From the perspective of engineering practice, providing specialized publishing processes for different types of content, the scalability of the architecture is poor, every time a type of content is added, the corresponding code must be added, and the business logic of different types of content publishing processes is basically Similar, easy to cause code redundancy

[0008] To sum up, in a rich-type content management system, the traditional content publishing process has a bad experience. If you encounter different types, you need to have its own specialized content publishing process, resulting in a bad front-end user experience and publishing Poor subsystem scalability and other deficiencies

Images