Dynamic Search Result Display Configuration Based on User Intention
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Solution Overview
Problem
Current search engines default to grid view for search results, which is not beneficial for customers with a purchase intention, as they fail to properly identify browse intention and provide appropriate display configurations.
Innovation Solution
A system and method that categorize purchasing categories based on queries, analyze the intention behind a query, and select a display configuration (grid or list view) to facilitate appropriate result display, by comparing purchasing categories with browse categories and determining an overlap to decide the display format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search results are displayed in grid view by default, then customers can browse products faster and more items can be displayed, but customers with purchase intention do not benefit from this display mode
Solution Approach 1:
The patent applies dynamics by making the display configuration changeable based on detected user intention. The system dynamically switches between grid view and list view depending on whether the user has browse intention or purchase intention, allowing the interface to adapt its behavior rather than remaining static. This resolves the contradiction by enabling grid view for browsing efficiency while providing list view for purchase efficiency when needed.
Solution Approach 2:
The patent changes the display parameter (view configuration) based on the detected intention of the user query. By analyzing the query and determining user intention, the system adjusts the display mode parameter from a fixed default to a variable state that optimizes for either browsing or purchasing tasks. This parameter change allows the system to resolve the contradiction between browsing speed and purchase decision efficiency.
2Device complexity
If a fixed display configuration is used for all queries, then the system is simple to implement, but it cannot accommodate different customer intentions effectively
Solution Approach 1:
The system performs self-service by automatically analyzing user queries and selecting appropriate display configurations without requiring manual user input or complex configuration management. The intention analysis mechanism enables the system to autonomously determine whether to apply grid or list view based on the detected user intention, reducing the need for external control while improving adaptability.
Solution Approach 2:
The patent implements multi-functionality by creating a unified display system that can serve multiple purposes: both browsing optimization and purchase decision support. The single system handles different user intentions by switching between display modes, making it universally applicable to various user goals without requiring separate specialized systems for each function.
3Ease of operation
If the system analyzes query intention to select display configuration, then user experience is improved, but the system complexity increases due to intention analysis requirements
Solution Approach 1:
The patent introduces an intermediary mechanism (intention analysis module) that bridges the gap between user queries and display configuration selection. This intermediary component processes the user intent and translates it into appropriate display mode choices, simplifying the overall system architecture by creating a dedicated layer that handles the complexity of intention recognition while keeping the display logic relatively simple.
Data Source
AI summary
In some embodiments, a method can comprise categorizing, in a database, one or more purchasing categories based at least in part on one or more queries. In some embodiments the one or more purchasing categories can comprise one or more products. The method can further comprise computing a set of browse categories of the one or more purchasing categories, loading the set of browse categories of the one or more purchasing categories into non-transitory memory, and receiving a query. In some embodiments, the method can further comprise determining one or more results for the query, the one or more results comprising a portion of the one or more products, analyzing intention of the query, and selecting a display configuration of the one or more results based at least in part on the intention. Other embodiments of related methods and systems are also provided.