Embedded Search Engine Architecture for Consistent Cross-App SERPs
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Solution Overview
Problem
Software providers with multiple products face inconsistent search experiences across different applications, leading to varying query results and user interfaces, which complicates user navigation and efficiency.
Innovation Solution
A shared search engine results page (SERP) system that integrates multiple search utilities, providing a consistent tenant-wide search experience by using a router, query builders, executors, and renderers to unify search queries and results across various applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple different search functions are implemented across various applications, then each application can have customized search capabilities, but the user experience becomes inconsistent and fragmented across the software provider's product portfolio
Solution Approach 1:
The patent implements a universal search engine core that serves multiple applications, allowing the same search functionality to be reused across different products. This is achieved through a shared search engine architecture that can be embedded in various applications, providing consistent search behavior while maintaining application-specific customization capabilities through configuration parameters.
Solution Approach 2:
The search system is segmented into independent modular components including query processing module, result generation module, and UX component rendering module. This segmentation allows each component to be developed and maintained independently while working together to provide consistent search functionality across applications, resolving the conflict between customization and consistency.
2Productivity
If each application has its own backend calling and UX logic for search, then application-specific search optimization is achieved, but maintaining cohesive search experience across applications becomes difficult
Solution Approach 1:
The patent merges the backend calling logic and UX component rendering into a shared search engine core that is common across all applications. This consolidation reduces overall system complexity by eliminating redundant search functionality while preserving application-specific optimization through configurable parameters and embedded deployment options.
3Productivity
If search functions are highly customized for each application, then application performance is optimized, but the effort to maintain consistency across applications increases
Solution Approach 1:
The patent uses template-based UX components that can be copied and configured for different applications rather than building custom search interfaces from scratch. These reusable templates maintain consistency across applications while allowing configuration-specific customizations, significantly reducing maintenance effort as updates only need to be made to the shared templates.
Data Source
AI summary
Systems and methods are provided for implementing adaptable embedded search engine functionality. In an aspect, a shared SERP system receives a user search query from a first search utility among a plurality of search utilities, which is associated with corresponding apps that are different from each other. A router of the shared SERP system provides the user search query and location information to a first query builder among one or more query builders of the shared SERP system. The first query builder constructs a query request corresponding to the user search query, based on the provided user search query and location information. A first query executor among one or more query executors of the shared SERP system executes the query request to produce search results. A component renderer of the shared SERP system renders one or more UX components within the first SERP, based on the search results.