Faceted Search via Interactive Graphics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search technologies rely on text-based queries that require users to sift through lists of hyper-linked titles and verbose descriptions, making it time-consuming to find relevant information, especially in e-commerce and travel websites, where users need to navigate complex taxonomies to refine their searches.
Innovation Solution
A method that receives text-based queries, parses keywords, and generates graphical representations using Generative Adversarial Networks (GANs) to illustrate attributes, allowing users to interactively modify these representations to refine their searches, thereby narrowing down results through faceted search modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If text-based search queries are used with traditional faceted navigation, then users can search for information, but it is time-consuming to sift through lists of hyper-linked titles and verbose descriptions
Solution Approach 1:
The patent transforms the traditional text-based faceted search interface into a visual dimension by generating graphical representations of search results and facets. Instead of presenting users with lists of hyper-linked titles and descriptions, the system creates visual thumbnails or images that represent search results, allowing users to scan and identify relevant information visually rather than reading through text, thereby reducing time and effort in navigating search results
Solution Approach 2:
The patent replaces the mechanical interaction of reading and clicking through text-based search results with a visual processing system. By using generative adversarial networks (GANs) to automatically create visual representations of search results, the system substitutes the manual cognitive process of reading text with automated visual generation, allowing users to quickly grasp search result content through images rather than verbose descriptions
2Measurement precision
If users navigate complex taxonomies to refine searches, then search precision improves, but the complexity of the search process increases
Solution Approach 1:
The patent applies visual dimension to taxonomy navigation by generating graphical representations that display facet relationships and hierarchical structures. Instead of requiring users to navigate through multiple levels of text-based category menus, the system creates visual maps or thumbnail-based faceted filters that show category relationships graphically, making complex taxonomy navigation more intuitive and less complex while maintaining search precision
Solution Approach 2:
The patent creates visual copies or thumbnails of search results and facet categories using generative adversarial networks. These visual copies serve as simplified representations of the underlying complex taxonomy structure, allowing users to interact with simplified visual proxies rather than the full complexity of the original taxonomic hierarchy, thereby reducing perceived complexity while preserving search precision
Data Source
AI summary
Disclosed are techniques for faceted search queries through interactive graphical objects. A text search query corresponding to a faceted search is received from a user, which is then parsed for keywords. Attributes associated with the keywords are then extracted and used to generate a graphical representation corresponding to the results associated with the text search query. Further user input to refine the query is provided through manipulation of the graphical representation by the user (such as dragging a leg of a table to change the length of legs on a table) corresponding to modification of one or more facets of the faceted search, narrowing the available search results corresponding to the faceted search.