Search Query Refinement System with Visual Relationship Display
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Solution Overview
Problem
Current search engines face challenges in providing relevant search results when users submit vague queries, as they often yield broad and irrelevant results, and lack effective methods to suggest refinements that cater to the user's specific interests.
Innovation Solution
The system displays user-selectable refinements to search queries, allowing users to refine their searches by adding additional terms, which are suggested by the search engine based on analysis of related search queries and user behavior, and provides visual representations to navigate through these refinements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user submits a vague search query, then the search engine can process it quickly with minimal input requirements, but the search results become broad and less relevant to the user's specific interests
Solution Approach 1:
The search engine performs preliminary analysis of the initial search query to identify potential refinement opportunities before the user even submits the query. Suggested refinements are prepared in advance and presented to the user alongside the initial search results, allowing the user to quickly navigate to more specific result sets without having to mentally formulate additional search terms.
Solution Approach 2:
The system implements a feedback mechanism where the search engine analyzes user interactions with search results and continuously refines its suggestions. When users click on suggested refinements or interact with specific result categories, this behavior data is fed back to improve the accuracy and relevance of future refinement suggestions, creating a continuous improvement loop.
2Manufacturing precision
If the search engine provides detailed refinement suggestions, then the relevance of search results improves, but the complexity of the search interface increases
Solution Approach 1:
The refinement suggestions are segmented into distinct, independently selectable options rather than presenting a single complex form. Each suggested refinement represents a discrete category or filter that can be applied individually, allowing the interface to remain simple while providing comprehensive refinement capabilities. The suggestions are presented as separate clickable elements rather than requiring form filling or complex interactions.
3Manufacturing precision
If the search engine analyzes user behavior data to suggest refinements, then the accuracy of suggestions improves, but the processing time and computational resources increase
Solution Approach 1:
User behavior analysis and refinement suggestion generation are performed in advance and cached before being presented to the user. The search engine pre-processes the initial query to identify potential refinement categories based on historical data and common search patterns, so that when the user views results, the suggestions are already prepared and ready for immediate display without adding noticeable delay to the search process.
Data Source
AI summary
Method of displaying by a client application in communication with a search engine a plurality of user-selectable refinements to a search query including a search term, comprising: sending the search query; receiving search results and suggested search query refinements determined based at least in part on an analysis of groups of related search queries, each suggested search query refinement corresponding to a refined search query including the search term and an additional search term; displaying search results and, apart from a search bar, refinements, refinements being selectable by a user via a graphical object; receiving a selection of one of the refinements, the selection corresponding to a refined search query including the search term and an additional search term; receiving refined search results; and displaying refined search results and a visual representation of a refinement relationship between the search query and the refined search query. Related systems are also disclosed.