Multi-Channel Search Visualization System
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Solution Overview
Problem
Traditional search query resolution techniques are limited by their reliance on basic keyword searching and primitive structured filters, leading to ineffective searches due to user knowledge limitations and inefficient use of computing resources.
Innovation Solution
The implementation of multi-modal and multi-channel search solutions that transform search queries into complementary representations, such as keyword and embedding representations, to measure syntactic and semantic similarity with search domain features, thereby identifying and augmenting final search resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional keyword searching techniques are used, then search simplicity is maintained, but search effectiveness deteriorates due to user knowledge limitations
Solution Approach 1:
The patent introduces an intermediary layer between the user's simple search query and the complex provider database. This intermediary consists of: (1) a natural language understanding module that translates user-friendly queries into structured search criteria, (2) a knowledge graph that bridges semantic gaps between user terms and provider attributes, and (3) a query expansion mechanism that infers additional relevant search parameters. This intermediary enables users to search without domain expertise while maintaining high search effectiveness.
2Quantity of substance
If comprehensive search results are generated, then search completeness is improved, but computing resource consumption increases
Solution Approach 1:
The patent applies preliminary action by pre-processing and indexing provider data into a knowledge graph before actual search queries are received. Provider information is pre-structured with multiple attribute types (demographic, geographic, specialty, availability) and pre-related through semantic connections. This preliminary organization enables efficient query processing without requiring comprehensive full-text search of all provider records, thus reducing computing resources while maintaining result completeness.
Solution Approach 2:
The search system segments the comprehensive search task into multiple independent channels or dimensions: (1) keyword matching channel, (2) semantic similarity channel, (3) geographic filtering channel, (4) temporal availability channel. Each channel processes specific aspects of search criteria independently using appropriate algorithms. This segmentation allows the system to generate comprehensive results by combining outputs from multiple specialized sub-searches rather than performing one monolithic comprehensive search, optimizing resource utilization.
3Device complexity
If traditional list-based user interface is used, then interface simplicity is maintained, but information consumability deteriorates
Solution Approach 1:
The patent transitions the search results from a traditional one-dimensional list format to a multi-dimensional visual representation. The results are displayed on an interactive map that adds spatial dimensionality, allowing users to see provider locations, specialties, and availability represented as visual elements on a geographic canvas. This dimensional transformation makes information more consumable by enabling parallel processing of multiple attributes simultaneously and providing contextual understanding through spatial relationships, while maintaining interface simplicity through unified visual presentation.
Data Source
AI summary
Various embodiments of the present disclosure provide an interactive map-based visualization system related to multi-channel search for search domains to improve upon traditional search resolutions within such domains. The techniques may include receiving a user interface request that comprises (i) character-level text input related to a search query via a user interface of a user device and (ii) filter metadata for a user identifier associated with the user interface request, generating a set of query result data objects for the user interface request by correlating the character-level text input to at least one domain knowledge profile, and generating a set of filtered query result data objects for the user interface request by filtering the set of query result data objects using the filter metadata. In some examples, the techniques may include initiating a rendering of a set of selectable graphical element options that are correlated to a real-time map visualization.