Priority-Guided Search Interface for Domain Attribute Retrieval
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Solution Overview
Problem
Existing information retrieval systems require users to educate themselves about a subject matter domain before formulating precise queries, making it difficult for those with limited familiarity to find relevant information.
Innovation Solution
A graphical user interface that solicits domain identity information, presents domain attributes, and allows users to provide priority indications to assemble and format result information, using graphical interactions and optionally reassigned priority indications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional search engines are used with keyword queries, then information retrieval is efficient for knowledgeable users, but users with limited domain familiarity cannot formulate effective queries
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between the user and the search system. The assistant translates natural language user intentions into structured search queries with appropriate keywords and filters, eliminating the need for users to learn domain-specific query syntax while maintaining search efficiency
Solution Approach 2:
The system performs self-service by automatically analyzing user intent from natural language input and generating optimized search queries without requiring user expertise. The AI assistant autonomously selects relevant keywords, applies appropriate filters, and structures queries based on the user's stated needs
2Ease of operation
If AI systems provide natural language query processing, then user-friendliness is improved, but retrieved information may not be pertinent to user needs
Solution Approach 1:
The patent segments the search process into distinct phases: natural language intent analysis, keyword extraction, filter selection, and query construction. This segmentation allows the system to maintain user-friendly natural language input while systematically ensuring precise and pertinent information retrieval through structured processing steps
Solution Approach 2:
The system incorporates feedback mechanisms where the AI assistant refines search queries based on initial results and user responses, adjusting keywords and filters to improve information relevance while maintaining natural language interaction simplicity
3Measurement precision
If users educate themselves about domain knowledge, then search query precision is improved, but time and effort are consumed before information retrieval
Solution Approach 1:
The patent performs preliminary action by having the AI assistant pre-analyze user intent and pre-construct optimized search queries before the actual information retrieval takes place. This eliminates the need for users to spend time learning domain knowledge, as the system prepares precise queries based on natural language input alone
4Device complexity
If search results are presented as basic links, then system complexity is low, but user understanding of results is difficult
Solution Approach 1:
The patent adds another dimension to result presentation by incorporating AI-generated summaries and explanations alongside traditional search links. This transforms one-dimensional link lists into multi-dimensional result cards that provide immediate context and understanding without significantly increasing system complexity
Data Source
AI summary
In one aspect the invention provides a system method and computer executable instructions to generate a graphical user interface (GUI) which is configured to solicit domain identity information from a user. The GUI then presents domain attribute information to the user, and solicits from the user priority indications related at least one domain attribute presented to the user. The invention then operates to assemble result information using a set of priority indications received from the user, and to present result information to the user formatted using at least one received priority indication.