Business Listing Search Engine Age Filtering Mechanism
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Solution Overview
Problem
Current information search and presentation systems for businesses do not effectively allow users to filter results by the age or opening date of businesses at specific locations, limiting the ability to find new or established businesses based on user-defined criteria.
Innovation Solution
A system and method that utilize a data storage facility to store opening dates of businesses, allowing users to search for listings based on 'Grand Opening' status or age, with a search engine and sorter ranking results by date, distance, and other criteria, enabling users to find new or long-established businesses near a specified location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are sorted by distance or traditional criteria, then location relevance is improved, but the ability to filter by business age or opening date is lost
Solution Approach 1:
The sorting functionality is segmented into multiple independent sorting dimensions. The system divides the search result organization into separate sortable columns including business age, opening date, distance, and other traditional criteria. This allows users to independently sort by business age without losing the ability to sort by other parameters, thereby achieving precise filtering by business age while maintaining search criterion flexibility.
Solution Approach 2:
The system adds a new dimension to the search results by incorporating business age and opening date as explicit sortable parameters. This transforms the traditional single-dimension sorting (by distance or relevance) into multi-dimensional sorting capability, allowing users to navigate results along multiple axes including time-based metrics. This resolves the contradiction by providing precise age filtering through a new sorting dimension while preserving adaptability through multiple available sorting options.
2Adaptability or versatility
If multiple sorting criteria are provided, then user choice is improved, but system complexity increases
Solution Approach 1:
The system implements self-service sorting where users can independently select and change sorting criteria without system intervention or complex configuration. Multiple sorting options (business age, opening date, distance, etc.) are presented as ready-to-use columns that users can click to sort. This approach provides diverse sorting options while keeping the system simple, as the complexity is managed through straightforward user interface interactions rather than complex backend processing for each sorting scenario.
3Quantity of substance
If search results include all businesses, then completeness is improved, but information relevance to new businesses is reduced
Solution Approach 1:
The system performs preliminary organization of search results by business age and opening date before presentation to the user. By pre-sorting or pre-grouping results along the business age dimension, the system maintains completeness of results while enhancing relevance. Users can immediately see new or established businesses prioritized through the sorting mechanism, without needing to manually filter through all results. This preliminary sorting action resolves the contradiction by maintaining full result quantity while improving relevant information visibility.
Data Source
AI summary
Systems and methods are provided to facilitate search of listings of businesses according to opening date or age of the businesses at their current business locations. For example, a user may submit a search request for listings of new businesses (e.g., the businesses having the “Grand Opening” status) at a location specified by the user.