Generative AI News Filtering for Focused Article Summaries
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Solution Overview
Problem
Existing AI systems face challenges in efficiently summarizing multiple news articles due to increased processing costs and confusion in information handling, particularly when generating summaries for large volumes of news articles.
Innovation Solution
An information processing apparatus utilizing generative AI for selective article selection, rearrangement, and summarization, including preprocessing steps like duplication detection, deletion target detection, and weighting to optimize the summarization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If summaries of all news articles are generated, then completeness of summary coverage is improved, but processing cost increases
Solution Approach 1:
The patent segments the news article processing into multiple stages: first filtering articles based on duplication detection and deletion target detection, then selectively summarizing only the remaining relevant articles. This segmentation allows the system to maintain summary completeness for important articles while avoiding unnecessary processing of duplicate or less relevant content, thus resolving the contradiction between coverage completeness and processing cost.
2Reliability
If all news articles are collectively summarized, then comprehensive coverage is improved, but information confusion occurs
Solution Approach 1:
The patent extracts and removes duplicate news articles and deletion target articles from the input set before summarization. By taking out these problematic articles that cause information confusion, the system can then collectively summarize the remaining unique and relevant articles without confusion, maintaining comprehensive coverage while eliminating information quality issues.
3Productivity
If selective summarization is performed, then processing efficiency is improved, but summary completeness may be reduced
Solution Approach 1:
The patent performs preliminary actions of duplication detection and deletion target detection before the summarization process. These preliminary filtering actions identify and remove articles that would not contribute meaningfully to the summary, allowing the system to efficiently summarize only the necessary articles while maintaining completeness of the final summary output.
Data Source
AI summary
An information processing apparatus according to the present application includes: a selection and rearrangement unit that causes generative AI to execute selection and rearrangement of a plurality of news articles using first instruction information including information indicating an instruction to select the plurality of news articles and information indicating a restriction condition of the selection and second instruction information including information indicating an instruction to rearrange the plurality of news articles and information indicating a restriction condition of the rearrangement; and a summarization unit that causes the generative AI to execute summarization of each of the plurality of news articles using third instruction information including information indicating an instruction to summarize each of the plurality of news articles selected and rearranged by the selection and rearrangement unit.