Business Listing Search Platform for Query Correction and Data Sync
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Solution Overview
Problem
Current search engines struggle with accurately identifying relevant information due to typographical errors, misspellings, or gaps between search keywords and online data, leading to inefficient and time-consuming user experiences in finding desired business information.
Innovation Solution
A knowledge search engine platform utilizing natural language processing and auto-completion techniques to enhance business listings, allowing businesses to centralize and syndicate structured data across multiple platforms, and providing intuitive responses to user queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional keyword-based search is used, then search functionality is simple and fast, but accuracy of identifying relevant information deteriorates due to typographical errors, misspellings, or gaps in keyword matching
Solution Approach 1:
The patent introduces an intermediary component (search suggestion system) that sits between the user's search query and the search results. This intermediary automatically provides corrected search terms or alternative phrasing when it detects potential issues with the original query, such as misspellings or ambiguous keywords, thereby improving search accuracy without requiring the user to manually refine their search strategy
Solution Approach 2:
The system performs preliminary actions by analyzing and suggesting search term improvements before the actual search is executed. By pre-processing the search query and offering corrected or enhanced terms in advance, the system prevents inaccurate search results before they occur, rather than attempting to correct issues after the search is performed
2Loss of information
If users perform extensive searches to find accurate business information, then completeness of information retrieval is improved, but time and effort required increases significantly
Solution Approach 1:
The patent implements feedback mechanisms where the system analyzes user search behavior, click-through patterns, and time-on-page metrics to continuously refine and personalize search suggestions. This feedback loop enables the system to learn from user interactions and progressively improve the accuracy and relevance of suggested search terms, reducing the need for users to perform multiple iterative searches
Solution Approach 2:
The system provides self-service by automatically detecting when a search query may be problematic and generating corrected suggestions without requiring user intervention. The search suggestion system operates autonomously to improve query accuracy, eliminating the need for users to manually refine their search terms through trial and error
3Adaptability or versatility
If businesses maintain information across multiple platforms independently, then platform-specific optimization is improved, but consistency and up-to-date status of information deteriorates
Solution Approach 1:
The patent applies universality by creating a centralized business information management system that serves multiple platforms simultaneously. This multi-functional system allows businesses to update their information once and automatically distributes it across various platforms (search engines, social media, directories), maintaining consistency while enabling platform-specific optimizations through standardized data interfaces
Data Source
AI summary
Embodiments of the disclosure provide for a knowledge search engine platform to identifying first data associated with a merchant system from one or more databases based on a search query submitted by a user device. The knowledge search engine platform generates a user dialog interface to display to the user device to enable a communication to collect additional information to supplement the first data. Second data to supplement the first data is received from the user system via the user dialog interface. Responsive to receiving the second data, a set of communications are transmitted to a set of search provider systems, where each communication of the set of communications comprising a recommended update comprising the first data and the second data.