Message Search Indexing for Product Diagnostics
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Solution Overview
Problem
Users face difficulties in identifying and resolving issues with electronic products due to insufficient information provided in error messages, leading to tedious and error-prone searches that often result in false positives and missed solutions.
Innovation Solution
A method and apparatus that search documents for message locations using a set of rules based on instructions within the product's resources, creating an index of these locations to efficiently retrieve and present relevant information for problem resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a user performs a search using commonly used names from error messages, then the search may return information associated with those names, but the search provides information that is not associated with the error message and requires much more time to find the solution
Solution Approach 1:
The system performs preliminary actions by pre-processing error messages to extract unique identifiers and pre-processing documentation to create an indexed database. This preliminary indexing of documentation with extracted terms allows the search system to quickly locate relevant information without requiring users to perform time-consuming manual searches through large result sets.
Solution Approach 2:
The system introduces an intermediary processing layer that includes an error message database and a documentation database, both with indexed structures. This intermediary layer acts as a mediator between the user's search query and the actual solution information, automatically matching error messages with relevant documentation based on extracted identifiers and terms, thereby filtering out irrelevant results.
2Loss of information
If error messages include detailed information about the issue, then the user can better identify the problem, but the messages may still not provide sufficient information to identify a particular solution
Solution Approach 1:
The system segments the problem-solving process into distinct components: error message generation with unique identifiers, separate documentation containing solutions, and an indexed database structure. This segmentation allows error messages to focus on providing concise problem identification while the indexed documentation database handles the comprehensive solution information, making the overall system easier to operate.
Solution Approach 2:
The indexed database structure serves as an intermediary that bridges the gap between error messages and solutions. It automatically matches error messages with relevant documentation entries using extracted identifiers and terms, eliminating the need for users to manually sift through information and directly providing the particular solution associated with each error.
3Loss of information
If the search returns a large number of results, then the search may contain the solution, but finding the solution takes much more time and the user may miss the solution buried in the results
Solution Approach 1:
The system performs preliminary indexing of documentation during a pre-processing phase, organizing documentation entries with extracted terms and identifiers before the actual search occurs. This preliminary organization enables rapid retrieval of specific solutions without requiring users to search through large unorganized result sets, significantly reducing solution finding time while maintaining solution availability.
Solution Approach 2:
The indexed database structure acts as an intermediary filtering mechanism that automatically narrows down search results based on matched error messages. Instead of returning all potentially relevant documents, the intermediary indexing system directly identifies and presents the specific documentation entries that contain the solution, eliminating the need for users to manually review large numbers of results.
Data Source
AI summary
A processor executes program instructions for managing information about a product to search documents for a location of a message of the product using a set of rules that are based on instructions for generating the message. The instructions are in a resource of the product. The processor then adds the location to an index of locations of the message in the documents.