AI Information Portal Filtering for Reliable Search Results

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Solution Overview

Problem

Users face challenges in efficiently obtaining reliable information from vast and diverse sources due to information overload and the prevalence of unverified or false content, especially in social and scientific topics, leading to misinformation and difficulty in distinguishing trustworthy data.

Innovation Solution

A system comprising a processor that collects, filters, and organizes information from various sources using a crawling engine, evaluates reliability, and formats it using generative AI to provide trustworthy content in a user-friendly portal site format.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If information is collected from various sources without filtering, then the quantity of information increases, but the reliability decreases due to inclusion of unverified or false content

Engineering Contradiction:

Improvequantity of informationVSAvoidreliability of information

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system segments the information processing task into distinct stages: collection, filtering, and formatting. The filtering stage specifically segments reliable from unreliable information by evaluating credibility scores, separating verified content from unverified content to maintain both quantity and reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary filtering mechanism that acts as a mediator between information collection and presentation. This intermediary evaluates credibility scores and filters information, allowing the system to maintain large quantities of information while ensuring reliability through the mediating filtering process.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If all collected information is presented to users, then completeness increases, but ease of operation decreases due to information overload

Engineering Contradiction:

Improvecompleteness of informationVSAvoidease of information access

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system extracts only the essential and reliable information from the complete dataset for presentation to users. By taking out highly-rated reliable information and separating it from the complete but unprocessed data, the system maintains completeness internally while improving ease of operation externally through selective presentation.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies local quality by presenting different qualities of information in different contexts. Highly reliable information is prominently displayed with high visibility, while less reliable information is either filtered out or presented with lower prominence, allowing users to easily access the most valuable information without being overwhelmed by all available data.

Inventive Principle:

Principle #3Local quality

3Reliability

If manual filtering and organization of information is performed, then reliability increases, but productivity decreases due to time-consuming processes

Engineering Contradiction:

Improvereliability of informationVSAvoidinformation processing speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements self-service by automatically evaluating the credibility of information sources and filtering content without requiring manual intervention. The automated credibility assessment and filtering processes maintain high reliability while dramatically improving productivity, as the system serves itself in evaluating and organizing information.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the parameter of information evaluation from manual qualitative assessment to automated quantitative credibility scoring. By transforming the filtering process into a parameter-based automated system that evaluates credibility scores, the system maintains reliability through systematic evaluation while improving productivity through automation.

Inventive Principle:

Principle #35Parameter changes

4Ease of operation

If information is organized by multiple categories and chronological order, then ease of operation increases, but device complexity increases

Engineering Contradiction:

Improveease of information navigationVSAvoidcomplexity of information organization system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system segments information organization into distinct categorical dimensions and chronological sequences. By dividing the organization task into separate segments (categories and time order) rather than attempting complex multi-dimensional sorting simultaneously, the system improves ease of navigation while managing complexity through modular organization structures.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260050640A1system

Publication Date: 2026.02.19 SOFTBANK GROUP CORP

AI summary

A system includes a processor that is configured to receive a search keyword from a user, activates a crawling engine to collect information related to the search keyword from information sources on a network, filter the collected information to exclude unreliable information, categorize the filtered information in chronological order and by category, format the categorized information into a portal site format using generative AI, and provide the formatted information to a terminal of the user.