Dynamic Query Variations Engine for Search Result Consolidation
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Solution Overview
Problem
Electronic marketplaces face challenges in efficiently matching user search queries with relevant items due to duplication of similar products with varying attributes, leading to cluttered search results and a frustrating user experience, which lowers conversion rates.
Innovation Solution
A dynamic query variations engine analyzes user search query history to identify and rank attribute categories, dynamically condensing search results by grouping similar items and providing attribute information in a graphical format, allowing users to easily compare variations without manual searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional search engines query a data store to determine a search result list, then comprehensive item coverage is achieved, but duplicate items clutter the search result list and cause delay
Solution Approach 1:
The patent merges multiple duplicate item entries into a single consolidated search result entry. When multiple items match a search query and represent the same underlying product (e.g., same ISBN, same product ID), the system consolidates them into one entry that displays aggregated information including all variants, thereby eliminating clutter while preserving complete item coverage.
Solution Approach 2:
The consolidated search result entry serves multiple functions simultaneously: it represents all duplicate items, provides aggregated pricing information, displays all available variants, and enables users to access any specific variant. This multi-functional approach maintains comprehensive coverage while reducing the number of displayed entries.
2Loss of information
If traditional search engines present all search result list entries, then complete information is provided, but users must perform various comparisons to find the exact item
Solution Approach 1:
The patent segments the information presentation into hierarchical levels: the consolidated entry provides an overview of all variants, while users can drill down into specific variants when needed. This segmentation allows complete information to be organized in a structured manner that is easy to navigate, reducing the cognitive load of comparing multiple items.
Solution Approach 2:
The patent adds a new dimension to the search result presentation by organizing variants along attribute dimensions (size, color, price, etc.) within the consolidated entry. Instead of requiring users to compare separate entries, the system presents variants in a multi-dimensional format that allows easy comparison across different attributes within a single visual structure.
3Quantity of substance
If search result lists include all matching items, then thorough search coverage is achieved, but the user experience becomes frustrating and conversion rates decrease
Solution Approach 1:
The patent merges duplicate item entries into consolidated representations that maintain full search result coverage while dramatically improving user experience. By combining multiple variants into single entries with clear organization, the system eliminates the frustration of scrolling through redundant information while ensuring users can still access and compare all available options.
Data Source
AI summary
Techniques are provided herein for utilizing a query variations engine. An attribute category for a search query may be identified from a search query history. A search query may be received from a user and a set of search results may be determined. A reduced set of search results may be generated from the set of search results based at least in part on the attribute category identified from the search query history. The user may be provided with the reduced set of search results.