Text content sorting method based on mobile internet access

Abstract

The invention discloses a text content sorting method based on mobile internet access and belongs to the field of massive big data processing and content sorting. The text content sorting method adopts a method of an artificial intelligent specializing system and includes steps of firstly establishing a URL (uniform resource locator) cleaning knowledge base, and filtering contents which are not finally browsed by accessors, namely 'garbage', by a cleaning inference engine; secondly sorting the 'effective' content accessed via the mobile internet according to a URL sorting knowledge base, keyword sorting knowledge base and related inference engines. By updating the URL cleaning knowledge base, the URL content sorting knowledge base and the keyword content sorting knowledge base, the system becomes smarter, content sorting efficiency is improved, and more importantly, coverage and accuracy of content sorting are improved.

Description

technical field [0001] The invention belongs to the field of massive big data processing and content classification, and in particular relates to a text content classification method based on mobile Internet access and massive data processing of tens of billions of visits. technical background [0002] At present, as a provincial-level telecom operator is in the process of business transformation from "traffic management" to "traffic management", the number of page URLs accessed by its users on the mobile Internet every day ranges from hundreds of millions to billions , or even tens of billions, involving hundreds of thousands of websites, and its text content is ever-changing. Therefore, how to accurately and efficiently classify the text content accessed by users, so as to analyze the user's access behavior and accurately characterize the characteristics of customers' access interests, is the core issue of intelligent marketing that the three operators urgently need to sol...

AI Technical Summary

Problems solved by technology

[0006] In view of the above existing problems, the object of the present invention is to provide a text content classification method, system and device based on mobile Internet access constructed by an artificial intelligence expert system, aiming at solving how to deal with hundreds of "Garbage" cleaning of billion-level mass access content (page URL), how to accurately and efficiently classify "effective" content, how to update data cleaning knowledge and content classification knowledge

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