AI Article Generation System Using Keyword Libraries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for generating industry information articles are costly and inefficient, resulting in limited content production that fails to meet growing user demands and lacks engagement.
Innovation Solution
A method and electronic device utilizing an AI large language model to automatically generate industry information articles by constructing a subject keyword library, screening content materials, and generating article subjects, outlines, and text contents in a structured manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual writing by industry experts is used to generate industry information articles, then the quality and professionalism of article content is improved, but the production cost increases and production efficiency decreases
Solution Approach 1:
The patent introduces an AI large language model as an intermediary between the keyword library/content materials and the final article output. The system uses the AI model to automatically generate articles based on pre-collected industry data and keywords, eliminating the need for manual writing while maintaining content quality through controlled generation processes
Solution Approach 2:
The system enables self-service article generation by automatically collecting industry trend data, constructing keyword libraries, screening content materials, and generating articles through AI without requiring human intervention at the article creation stage, thus improving productivity while maintaining reliability
2Reliability
If manual writing by industry experts is used to generate industry information articles, then the professionalism of article content is improved, but the production cost increases
Solution Approach 1:
The patent replaces expensive human expert writing with a more cost-effective AI large language model. The AI model can be called multiple times at lower cost to generate numerous articles, reducing the overall production cost while maintaining acceptable professionalism through the structured generation process using pre-collected industry data
3Productivity
If automated generation using AI large language model is used, then the production efficiency and cost-effectiveness are improved, but the content may become monotonous and lack user engagement
Solution Approach 1:
The patent performs preliminary actions by collecting industry trend data and constructing a comprehensive keyword library before article generation. This pre-processing ensures that the AI model has diverse, high-quality input materials to work with, which helps generate varied and engaging content rather than monotonous output
Solution Approach 2:
The system dynamically screens and selects content materials based on the specific article topic and requirements. The AI model generates articles adaptively by processing different keyword combinations and content materials, allowing for content diversity while maintaining high production efficiency
Data Source
AI summary
A method and an electronic device for generating article content are disclosed. The method includes: constructing a subject keyword library by collecting industry trend data, and collecting content materials for article generation; in response to a request for generating an industry information article, determining a target subject keyword and a prompt word text for dialogue with an artificial intelligence AI large language model, to facilitate a generation of an article subject; screening multiple segments of target content materials from the content materials; constructing a prompt word text for dialogue with the AI large language model according to the article subject and the target content materials to generate an article outline, the article outline including multiple sub-subjects; and calling the AI large language model multiple times to generate corresponding text contents for the multiple sub-subjects respectively.