Customized Search Platform Segmentation
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Solution Overview
Problem
Users have limited control and transparency over search results in existing search engines, which can lead to inefficient and unsatisfactory search experiences, especially when searching for specific data from dedicated databases requiring professional knowledge.
Innovation Solution
A customized search platform that allows users to prioritize and select data sources based on search query characteristics and personal preferences, using a neural-network based ranker and parser to intelligently recommend and filter search results, providing users with control over their search data sources and improving search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing search engines crawl web data to collect search results from all data sources, then the quantity of search results is increased, but the user has little control or transparency on how or where the search engines conduct their search
Solution Approach 1:
The patent segments the monolithic search result list into separate panels organized by data sources. Each panel displays results from a specific data source (e.g., Google, Bing, Wikipedia) with its own expandable/collapsible structure. This segmentation gives users visual control and transparency over where results come from while maintaining access to a large quantity of results across multiple sources.
Solution Approach 2:
The patent implements dynamic control mechanisms where users can expand or collapse individual data source panels, adjust the number of results displayed from each source, and dynamically reorganize the search interface. This dynamic behavior allows users to control the quantity and visibility of results from different data sources in real-time.
2Quantity of substance
If existing search engines provide search results from all data sources, then the comprehensiveness of search results is improved, but the computational complexity increases
Solution Approach 1:
The patent divides the computational task of searching across multiple data sources into separate, independent panels for each data source. Each panel can be processed and rendered independently, allowing the system to manage computational complexity by handling one data source at a time rather than processing all sources simultaneously as a single monolithic task.
Solution Approach 2:
The patent allows users to selectively expand or collapse data source panels, meaning the system can compute and display results from only the necessary subset of data sources for each user's needs. This partial action approach reduces computational complexity by avoiding unnecessary processing of data sources that the user does not want to explore.
3Ease of operation
If existing search engines return search results without organization by data source, then the simplicity of the interface is maintained, but the transparency and relevance of results to user preferences are reduced
Solution Approach 1:
The patent organizes search results into distinct panels grouped by data source, with each panel clearly labeled and visually separated. This segmentation provides transparency about where results come from while maintaining interface simplicity through consistent panel styling, expand/collapse functionality, and a unified control mechanism for managing all panels.
Data Source
AI summary
Embodiments described herein provide systems and methods for a customized search platform that provides users control and transparency in their searches. The system may use a ranker and parser to utilize input data and contextual information to identify search applications, sort the search applications, and present search results via user-engageable elements. The system may also use input from a user to personalize and update search results based on a user's interaction with user-engageable elements.