Electronic Document Reliability Ranking for Event Troubleshooting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face challenges in efficiently finding and navigating relevant electronic documents to resolve computing device and system errors, as existing resources are decentralized, time-consuming to access, and often provide misleading or unclear solutions.
Innovation Solution
A system that automatically collects, ranks, and associates electronic documents with events using a computing device, network, and knowledge database, employing a composer, searcher, and ranker to generate search queries, collect and rank search results based on quality of information, content source, and relevancy criteria, and store ranked results in a knowledge database for faster issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for electronic documents to resolve computing device errors, then they can find solutions, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by automatically collecting, filtering, and ranking electronic documents in advance, creating a pre-organized knowledge base that is ready for immediate query processing. This eliminates the need for users to manually search through unorganized documents when errors occur.
Solution Approach 2:
The system introduces an intermediary automated search and ranking system between the user and the decentralized electronic documents. This intermediary automatically queries multiple sources, ranks results by reliability and relevance, and presents filtered results to users, significantly reducing their search time and effort.
2Adaptability or versatility
If users access decentralized electronic document sources, then they can find various solutions, but the resources are scattered and difficult to navigate
Solution Approach 1:
The system merges multiple decentralized electronic document sources into a single unified search interface. It automatically queries multiple document repositories, forums, and knowledge bases simultaneously, combining their results into one ranked list that users can access through a single point of entry.
Solution Approach 2:
The system introduces an intermediary automated search and ranking system between the user and the decentralized electronic documents. This intermediary automatically queries multiple sources, ranks results by reliability and relevance, and presents filtered results to users, significantly reducing their search time and effort.
3Reliability
If users review multiple electronic documents to find accurate solutions, then they can resolve errors, but the process requires significant effort and time
Solution Approach 1:
The system implements feedback mechanisms by analyzing user interactions with ranked results, tracking which documents lead to successful error resolutions, and using this feedback to continuously improve the ranking algorithm. This ensures that the most reliable and accurate solutions are consistently presented at the top of results.
Solution Approach 2:
The system changes the parameters used to evaluate electronic documents by incorporating multiple ranking criteria including document reliability scores, source credibility, user feedback ratings, and relevance matching. This multi-parameter approach ensures that the most accurate and reliable solutions are prioritized in the ranked results.
Data Source
AI summary
A method of determining reliability of electronic documents associated with an event occurring in connection with a computing device may comprise, with a processor, composing a number of search queries based on text included in an event message, searching for a number of electronic documents via a network, said searching performed based on the composed search queries, and ranking the electronic documents identified by said searching based upon an indication of reliability in addressing the event associated with the event message, in which, ranking the electronic documents comprises applying a content source ranking criteria.