In-Context Search Result Exploration via Correlator
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Solution Overview
Problem
Current search systems require users to wait for a new search to complete after selecting suggested searches, making it inefficient to determine if refinements help or hinder the search results.
Innovation Solution
Interlinking search suggestions with search results to provide instant feedback by correlating suggested searches with search results, allowing users to see which results correspond to the suggested queries through highlighting or other visual cues, implemented using a correlator that interacts with the user interface to provide in-context exploration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a new search is performed after selecting suggested searches, then the search results can be refined, but the user has to wait for the new search to complete which reduces search efficiency
Solution Approach 1:
The system pre-computes and caches search results for suggested searches before the user actually selects them. When a user hovers over or views suggested searches, the results are already prepared and can be instantly displayed without waiting for full search execution, thus resolving the contradiction between obtaining refined results and avoiding time loss.
Solution Approach 2:
Instead of waiting for complete search results, the system displays partial results or preview information immediately when suggested searches are shown. This allows users to see some refinement benefits instantly while the full search continues in the background, balancing the need for accuracy with the need for speed.
2Adaptability or versatility
If suggested searches are provided with search results, then users can explore refinement options, but the lack of instant feedback makes it difficult to determine if refinements help or hurt
Solution Approach 1:
The system provides immediate visual feedback by highlighting or annotating which search results are relevant to each suggested search. When users view suggested searches, they simultaneously see which results would be returned, allowing them to instantly assess whether the refinement is helpful without waiting for separate search executions.
Solution Approach 2:
The system introduces an intermediary visual layer (such as highlights, annotations, or side panels) that connects suggested searches with their potential results. This intermediary provides the missing feedback information by showing the relationship between suggested refinements and actual results without requiring full search execution.
Data Source
AI summary
A method of providing in-context exploration of a query results web page, wherein the web page has at least one element and a plurality of query results, receives an indication of interest in the at least one element, and in response to the indication, emphasizes at least one query result relative to the plurality of query results.


