Information Source Selection via Social Activity Confidence Indexes

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The process of retrieving relevant information is complex and costly due to the need to submit requests to multiple information sources, leading to high computational resource consumption and potential inaccuracies in decision-making.

Innovation Solution

A method that determines confidence indexes of information sources based on social activities, allowing for the selection of the most suitable source for an information request, thereby reducing the number of sources queried and improving the accuracy of the information retrieved.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple information sources are queried to ensure information accuracy, then the reliability of retrieved information is improved, but the computational resource consumption and cost increase

Engineering Contradiction:
Improveinformation accuracyVSAvoidcomputational resource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by pre-calculating and storing confidence indexes for multiple information sources before actual information retrieval is needed. These confidence indexes are computed based on historical performance data, social activities, and source characteristics in advance, allowing the system to quickly select the most suitable information source without querying multiple sources during the actual retrieval process, thereby reducing computational resource consumption while maintaining information accuracy

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes the parameter of information source selection by introducing confidence indexes that quantify the reliability of each source. Instead of querying multiple sources equally, the system uses these parameter-based indexes to dynamically select the single most appropriate source, transforming the approach from broad multi-source querying to precise single-source selection based on calculated parameters

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple information sources are queried to improve information quality, then the reliability of retrieved information is improved, but the time required for information retrieval increases

Engineering Contradiction:
Improveinformation qualityVSAvoidinformation retrieval time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-evaluating and ranking information sources based on their confidence indexes before actual information retrieval. This pre-ranking process stores the evaluation results, enabling rapid selection of the best source during retrieval without the time cost of evaluating multiple sources in real-time, thus reducing retrieval time while maintaining information quality

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system extracts only the single most suitable information source from the pool of available sources based on confidence indexes, rather than retrieving information from multiple sources. This extraction approach eliminates the time waste associated with querying and evaluating multiple sources, achieving fast retrieval while maintaining quality by selecting the best source

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If confidence indexes are determined based on social activities, then the accuracy of source selection is improved, but the complexity of the selection process increases

Engineering Contradiction:
Improvesource selection accuracyVSAvoidselection process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system introduces confidence indexes as an intermediary metric that mediates between complex social activities and the simple task of source selection. Instead of directly analyzing complex social interactions during selection, the system uses pre-computed confidence indexes that encapsulate this complexity, allowing accurate selection based on a single numerical parameter without the burden of complex analysis at selection time

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10692157B2Selection of information sources based on social activities
Publication Date: 2020.06.23 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10692157B2 patent drawing
  • US10692157B2 patent drawing
  • US10692157B2 patent drawing

AI summary

A method, computer system, and computer program product for retrieving information is provided. The method comprises receiving an information request, determining corresponding confidence indexes of a plurality of information sources, each of the confidence indexes being indicative of a capability of the corresponding information source to respond to the information request determined according to one or more social activities relating thereto, selecting a selected information source of said information sources according to the confidence indexes, submitting the information request to the selected information source, receiving selected information from the selected information source in response to the information request, and returning the selected information as a result of the information request.