Knowledge Search Engine Dialogs for Accurate Business Listing Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines struggle with accurately identifying relevant information due to typographical errors, misspellings, or gaps in keyword matching, leading to inefficient and time-consuming user searches for business-related data, often resulting in users abandoning their search without finding the desired information.
Innovation Solution
A knowledge search engine platform that utilizes natural language processing and auto-completion techniques to enhance business listings, allowing businesses to centralize and syndicate structured data across multiple platforms, including search engines like Google and Facebook, and provides intuitive responses to user queries through a knowledge assistant component.
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 (knowledge assistant/search engine enhancement) that sits between the user's keyword input and the database search. This intermediary performs natural language processing, auto-completion, and fuzzy matching to bridge the gap between imprecise user input and accurate information retrieval, thereby improving measurement precision without directly complicating the core search mechanism.
Solution Approach 2:
The system performs preliminary actions by pre-processing search queries through auto-completion suggestions and natural language interpretation before the actual search execution. This preliminary processing corrects potential typographical errors and refines keywords in advance, improving search accuracy while keeping the main search engine relatively simple.
2Productivity
If businesses manually advertise and sell products across various media, then broad market coverage is achieved, but time and effort expenditure increases enormously
Solution Approach 1:
The patent implements a universal business listing system that serves multiple functions simultaneously: it acts as a centralized database, an automated advertising platform, a search engine, and a customer information system. This multi-functionality allows businesses to achieve broad market coverage through a single system rather than manually managing multiple advertising channels, thereby improving productivity while reducing time and effort investment.
Solution Approach 2:
The system enables self-service through automated features where businesses can centralize their information once and have it automatically syndicated across multiple platforms. The knowledge assistant automatically responds to user queries and guides customers to relevant business information without requiring manual intervention from businesses, significantly reducing the time and effort previously needed for advertising and customer service.
3Loss of time
If users manually search through multiple links and pages to find desired information, then comprehensive search capability is maintained, but time consumption increases and users abandon search
Solution Approach 1:
The knowledge assistant implements feedback mechanisms by monitoring user search behavior, analyzing query patterns, and dynamically adjusting auto-completion suggestions and search results. This feedback loop allows the system to learn from user interactions and improve the ease of operation over time, providing more accurate predictions and reducing the time users need to spend searching while maintaining comprehensive search capability.
Solution Approach 2:
The system performs preliminary actions by providing auto-completion suggestions and pre-filtering search results based on the knowledge assistant's understanding of user intent. This preliminary processing reduces the number of pages and links users need to manually explore, significantly cutting down search time and effort while maintaining the ability to access comprehensive information when needed.
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.