Search Result Management for Navigational Queries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search systems fail to effectively differentiate between navigational and exploratory queries, leading to inefficient presentation of search results, often overwhelming users with irrelevant information when a specific location or business is sought.
Innovation Solution
A method that analyzes search queries to determine whether they are navigational or exploratory, using relevance scores and user response data to reduce the number of search results displayed, focusing on local significance and providing more detailed information for navigational queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the search system provides a large number of search results, then the user can find relevant information, but the user interface becomes cluttered and harder to navigate
Solution Approach 1:
The search results are segmented into different categories (local results, national results, international results) based on geographic relevance. This segmentation allows the system to present a manageable number of results in each category while maintaining overall comprehensiveness, resolving the contradiction between quantity and usability.
Solution Approach 2:
The system applies different result presentation strategies based on the query type and user location. For local searches, the system prioritizes nearby results with detailed information, while for broader searches it provides more comprehensive lists. This local quality approach optimizes usability for each specific context.
2Ease of operation
If the search system limits the number of search results, then the user interface remains clean and manageable, but relevant results may be omitted
Solution Approach 1:
The search result presentation is dynamic and adapts based on query analysis. The system determines the appropriate number and type of results to display based on the search terms, user location, and intent, allowing flexible adjustment between limited and comprehensive result sets without compromising usability or relevance.
Solution Approach 2:
The system uses feedback from user interactions and query patterns to refine result presentation. By analyzing user behavior and query modifications, the system learns to present the optimal number of results that balance usability with comprehensiveness for each user and query type.
3Loss of information
If the search system provides detailed information for each result, then users can make informed decisions, but the amount of information displayed increases clutter
Solution Approach 1:
Detailed information is segmented and organized by category (local, national, international). Each category presents relevant details in a structured manner, allowing users to access comprehensive information without overwhelming clutter. The segmentation creates visual and organizational structure that manages information density.
Solution Approach 2:
The system adds dimensional organization to information presentation by structuring results across multiple levels (category hierarchy, geographic regions, business types). This dimensional approach allows detailed information to be organized in a way that reduces perceived clutter and improves navigability.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing search results. In one aspect, a method includes receiving a set of search results. The set of search results is responsive to a search query received from a user. The method includes determining whether the search query is a navigational query or an exploratory query. The method also includes determining a number of search results to be presented to the user depending on whether the search query is determined to be a navigational query or an exploratory query.