Structured Information Card Trigger-Term Identification
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Solution Overview
Problem
Existing search systems require users to manually sift through multiple search results to find relevant information, which is inefficient, especially in time-sensitive situations like airport check-ins where users need to quickly retrieve specific information like flight confirmation numbers.
Innovation Solution
A card trigger-term identification unit that dynamically updates the grammar of structured information cards by analyzing search queries and identifying additional trigger-terms, allowing the system to automatically display relevant information without the need for users to read through search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually sift through multiple search results to find relevant information, then comprehensive search coverage is achieved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent extracts key information from search results and presents it in a structured card format, allowing users to obtain essential information without reading through multiple search results. The card displays extracted entities, attributes, and relationships in an organized manner, enabling quick information retrieval while maintaining accuracy.
Solution Approach 2:
The patent introduces an intermediary structured information card between the search query and the full search results. This card acts as a mediator that pre-processes and organizes information, allowing users to quickly assess relevance and retrieve key information without manually examining multiple search result pages.
2Stability of the object's composition
If structured information cards use fixed grammar with predefined trigger-terms, then system stability is maintained, but adaptability to new search patterns decreases
Solution Approach 1:
The patent implements dynamic grammar that can evolve over time. The system monitors search query patterns and automatically identifies new trigger-terms that should be added to the grammar. This allows the structured information card system to adapt to emerging search patterns while maintaining the core stable structure of the card format and information organization.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system analyzes actual search query usage and uses this information to refine and expand the grammar. By monitoring which terms users actually use in searches, the system can identify gaps in the current grammar and add appropriate trigger-terms, creating a continuous improvement cycle that maintains stability while enabling adaptability.
3Loss of information
If the system displays detailed information in structured cards, then information completeness improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments information into structured cards that organize data by entity types and attributes. Each card focuses on a specific entity or topic, presenting relevant information in a condensed format. This segmentation allows the system to display comprehensive information in an organized, manageable way without overwhelming the user or requiring excessive processing resources.
Solution Approach 2:
The patent applies local quality by providing detailed information only where relevant to the specific query and context. Each structured card contains information tailored to the particular entity and user needs, rather than uniformly displaying all possible data. This approach maintains information completeness for relevant details while reducing overall system complexity by avoiding unnecessary information processing and display.
Data Source
AI summary
Methods, systems, apparatus, including computer programs encoded on computer storage medium, to facilitate identification of additional trigger-terms for a structured information card. In one aspect, the method includes actions of accessing data associated with a template for presenting structured information, wherein the accessed data references (i) a label term and (ii) a value. Other actions may include obtaining a candidate label term, identifying one or more entities that are associated with the label term, identifying one or more of the entities that are associated with the candidate label term, and for each particular entity of the one or more entities that are associated with the candidate label term, associating, with the candidate label term, (i) a label term that is associated with the particular entity, and (ii) the value associated with the label term.