Search Result Text Translation for User Comprehension
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Solution Overview
Problem
Search results often use terminology unfamiliar to users, making it difficult for them to determine relevance to their queries.
Innovation Solution
Utilize artificial intelligence and natural language processing to modify search result text based on user queries, replacing terms with contextually related alternatives to align with user understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results use technical terminology to accurately describe content, then information precision is improved, but user comprehension deteriorates
Solution Approach 1:
The patent introduces an intermediary translation layer that converts technical terminology in search results into user-friendly language. The system identifies technical terms in search result titles and descriptions, translates them into simpler alternatives based on user profile analysis, and presents the translated results to users. This mediator approach maintains information precision while improving user comprehension by bridging the gap between technical content and user understanding.
Solution Approach 2:
The patent dynamically changes the language parameter of search results based on user characteristics. By analyzing user profiles, search history, and expertise levels, the system adjusts the complexity and terminology of search result presentations. This parameter change allows the same search result to be presented in different linguistic forms suitable for different user groups, thereby improving comprehension without losing information precision.
2Ease of operation
If search results are modified to match user query terms, then user comprehension is improved, but information accuracy may deteriorate
Solution Approach 1:
The translation intermediary preserves the original technical terms in the background while providing simplified alternatives to users. The system maintains a mapping between original terms and translated terms, ensuring that the underlying information accuracy is preserved even though the presentation is adapted to user comprehension levels. This allows users to understand results better while the original accurate terminology remains intact in the data layer.
Solution Approach 2:
The patent creates a copied version of search results with translated terminology while keeping the original results intact. The translation layer generates alternative presentations of the same search results using different terminology, allowing users to interact with comprehensible copies while the original accurate information remains preserved in the system for verification and further processing.
3Ease of operation
If AI processing is applied to modify search results, then user comprehension is improved, but computational complexity increases
Solution Approach 1:
The patent segments the AI processing into distinct modular components: user profile analysis module, technical term identification module, translation module, and result assembly module. Each component performs a specific function independently, making the overall complex process more manageable and efficient. This segmentation allows the system to process only relevant portions of search results (technical terms) rather than entire documents, reducing computational overhead while maintaining comprehension benefits.
Data Source
AI summary
Methods and systems for modifying a search result are described. A computing device may receive a query. A search result based on the query may be determined. The computing device may modify the search result based on a term of the query.