Cross-App Search Using Application State Access Data
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Solution Overview
Problem
Existing search engines struggle to provide accurate and personalized search results across diverse applications and platforms, often failing to ensure consistent access to the correct application state due to variability in content storage and user-specific data handling.
Innovation Solution
A search application that communicates with partner applications on a user device, receiving search queries, ranking results, and ensuring access to the correct application state by using application state access data, while also allowing for personalized search results through user-specific data integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a search engine searches across multiple applications and platforms, then the coverage and versatility of search results is improved, but the reliability of accessing the correct application state deteriorates due to variability in content storage and user-specific data handling
Solution Approach 1:
The patent introduces an intermediary layer between the search engine and target applications that standardizes access to application states. This intermediary handles the variability in content storage and data handling across different applications, translating diverse application-specific formats into a unified interface that the search engine can reliably access, thus maintaining search coverage while ensuring reliable application state access.
Solution Approach 2:
The patent creates a universal search result format that can accommodate multiple application types and platforms. By designing a multi-functional search result structure that can represent different application states (e.g., product details, media player state, document state) through a common interface, the system achieves broad search coverage while maintaining consistent and reliable access patterns across diverse applications.
2Measurement precision
If search results include detailed application state information, then the precision and relevance of search results is improved, but the complexity of data handling and processing increases
Solution Approach 1:
The patent segments search result data into distinct, well-defined components such as application identifier, state type, state parameters, and actionable elements. This segmentation allows the system to handle detailed application state information with high precision while reducing processing complexity through modular data structures that can be independently validated and processed.
Solution Approach 2:
The patent transforms complex application state data into standardized parameters with defined schemas and validation rules. By changing the representation of application state information from arbitrary application-specific formats to structured parameters with explicit types and constraints, the system achieves high search result accuracy while simplifying data handling through consistent parameter validation and processing.
Data Source
AI summary
A user device includes a processing unit that executes a search application. Executing the search application causes the processing unit to receive a user search query, send the user search query to a plurality of target applications, and receive a set of search results from each of the target applications. Each search result includes application state access data configured to access an application state of the target application associated with the search result. Executing the search application causes the processing unit to rank the search results, display the ranked search results, and detect user selection of one of the displayed search results. Additionally, executing the search application causes the processing unit to send the application state access data associated with the selected search result to the target application associated with the selected search result and display the application state accessed using the application state access data.


