Contextless Keyword Search With Grouped What-and-Why Results
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Solution Overview
Problem
Conventional data retrieval systems require context in search queries, leading to inefficient and inaccurate results, especially when users are unfamiliar with the topic, and struggle to provide context-specific information without user-provided context.
Innovation Solution
A computer-implemented system that processes keyword entries without context to retrieve and display 'what' and 'why' context-based data results, using algorithms to categorize and separate visual icons for easy user access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional keyword-based search is used, then users can perform simple queries, but the search results lack context-specific accuracy and require users to sift through irrelevant information
Solution Approach 1:
The search results are segmented into distinct context categories (e.g., definition, function, application, history) and presented as separate visual icons. Each icon represents a specific contextual perspective on the search term, allowing users to quickly select the relevant context without sifting through unrelated information.
Solution Approach 2:
The system performs preliminary contextual analysis and categorization of search results before presenting them to the user. Algorithms automatically determine the relevant contexts for each search term and organize the information accordingly, so that when users perform a search, the contextualized results are already prepared and ready for immediate selection.
2Measurement precision
If users provide context in search queries, then more accurate results can be obtained, but the search process becomes more complex and requires user knowledge of the topic
Solution Approach 1:
The system performs self-service contextual analysis by automatically determining the relevant contexts for each search term without requiring user input. The algorithms analyze the search term and autonomously identify and categorize information across multiple contextual dimensions, allowing users to maintain simple keyword-based queries while still receiving contextually rich results.
Solution Approach 2:
The system provides multi-functional search capabilities by handling multiple contextual perspectives (definition, function, application, etc.) simultaneously through a single unified interface. This universal approach allows the system to serve diverse information needs without requiring users to formulate different types of queries for different contexts.
3Quantity of substance
If comprehensive search results are provided, then more information is available, but the results become overwhelming and difficult to navigate
Solution Approach 1:
The comprehensive search results are segmented into distinct visual icons representing different contextual categories. Instead of presenting a wall of text or a long list of results, the system divides the information into discrete, visually distinguishable segments that users can easily scan and select based on their specific information needs.
Solution Approach 2:
The system transitions from a traditional linear presentation of search results to a spatial, multi-dimensional layout where different contexts are represented as separate visual icons arranged in space. This dimensional change allows users to perceive and navigate the comprehensive information set more efficiently by visually scanning multiple contexts simultaneously rather than scrolling through a linear list.
Data Source
AI summary
Techniques for data retrieval and display with grouped context-based categorization in response to a contextless keyword entry query include initiating a data search query consisting of a keyword entry without contextual meaning. A data search corresponding to the keyword entry is processed in a database using an algorithm to locate within the database a first data result having at least one data file relating to a ‘what’ context of the keyword entry, and a second data result having at least one data file relating to a ‘why’ context of the keyword entry. First and second visual icons corresponding data file of the first or second data result are displayed separately from each other. In response to a user selection of the first or second visual icons, content of the first data result or the second data result is displayed.