Dynamic Search Interaction with Intent-Based Query Organization
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Solution Overview
Problem
Users often require multiple iterative search queries to find desired information in web searches, leading to a less than satisfying user experience due to ambiguity and the need for refining searches.
Innovation Solution
A dynamic search interaction system that organizes related search queries by topic and estimates their likelihood of matching the user's intent, presenting them in a graphical user interface using visual attributes such as font size and style to guide the user to the most relevant queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users perform iterative search queries to refine their search, then they can obtain desired information, but the user experience becomes less satisfying and time-consuming
Solution Approach 1:
The system performs preliminary organization of related search queries by topic and estimates the likelihood of user intent matching before the user even completes their search. By pre-processing and structuring potential search results according to inferred user intent, the system eliminates the need for iterative refinement, allowing users to directly access relevant information in a single search action.
2Measurement precision
If users perform iterative search queries to refine their search, then they can obtain desired information, but the process becomes complex and frustrating
Solution Approach 1:
The system segments related search queries into distinct topic categories and organizes them hierarchically. By dividing the search results into manageable topic segments rather than presenting a single undifferentiated list, users can easily navigate to their area of interest without having to iteratively refine their query. This segmentation reduces operational complexity while maintaining high search accuracy.
3Adaptability or versatility
If the system presents all related search queries equally, then users see all options, but users cannot quickly identify the most relevant queries
Solution Approach 1:
The system applies local quality by differentiating the presentation of search queries based on their estimated relevance to user intent. Within each topic segment, queries are visually distinguished by attributes such as font size, bolding, or highlighting according to their likelihood of matching user intent. This allows the system to maintain comprehensive query coverage while enabling users to quickly identify and access the most relevant information through visual cues.
Data Source
AI summary
This patent application pertains to dynamic search interaction. One example includes an organizational component configured to obtain a search query from a user. The organizational component can also be configured to obtain related search queries. The organizational component can further be configured to organize the related search queries by topic and to estimate a relative likelihood that an intent of the user matches an individual topic. This example also includes an image generation component configured to cause the organized related search queries to be presented on a graphical user interface (GUI) in a manner that reflects the relative likelihood.