AI Document Summarization via Neural Network Adaptation

Solution Overview

Problem

Current electronic devices lack an efficient method to provide summarized information to users based on searched documents, relying on conventional rule-based systems rather than advanced AI technologies that can adapt and learn from user preferences and document content.

Innovation Solution

An electronic device utilizing an AI learning model to search for documents based on keywords and generate summary information, which can be integrated into existing documents, tailored to user preferences and intellectual capacity, by employing neural networks and natural language processing to extract key information and present it in a user-friendly format.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If rule-based smart systems are used for document summarization, then the system structure is simple and easy to implement, but the system cannot accurately understand user preferences and adapt to different users

Engineering Contradiction:

Improveadaptability to user preferencesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent replaces rule-based smart systems with deep learning-based artificial intelligence systems. The AI system uses neural networks to automatically learn and understand user preferences from interaction data, eliminating the need for manual rule configuration. This substitution enables the system to adapt to different users and their preferences while maintaining operational simplicity through automated learning processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary learning and analysis of user preferences in advance through continuous interaction and data collection. By pre-processing and understanding user behavior patterns before actual document summarization tasks, the system can quickly adapt to user preferences without requiring complex real-time processing during document analysis.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If deep learning-based AI systems are used for document summarization, then the system can accurately understand user preferences and provide personalized results, but the computational resources and processing time increase

Engineering Contradiction:

Improveaccuracy of user preference understandingVSAvoidcomputational energy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary training and learning of user preferences in advance through continuous interaction and data collection. By pre-processing and understanding user behavior patterns before actual document summarization tasks, the system can quickly adapt to user preferences without requiring complex real-time processing during document analysis, thereby reducing computational energy consumption during operation.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If conventional summarization methods are used, then the processing speed is fast and resources are consumed less, but the summarization quality and relevance to user needs are insufficient

Engineering Contradiction:

Improvesummarization qualityVSAvoidprocessing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary learning and analysis of user preferences in advance through continuous interaction and data collection. By pre-processing and understanding user behavior patterns before actual document summarization tasks, the system can quickly adapt to user preferences without requiring complex real-time processing during document analysis, thereby improving summarization quality while maintaining efficient processing speed.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11574116B2Apparatus and method for providing summarized information using an artificial intelligence model

Publication Date: 2023.02.07 SAMSUNG ELECTRONICS CO LTD

AI summary

An artificial intelligence system using a machine learning algorithm for providing summary information of a document input to an artificial intelligence learning model trained to obtain summary information.