Native Application History Indexing for Accurate Search Suggestions
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Solution Overview
Problem
Existing search systems fail to utilize browsing history from native applications, limiting the ability to provide search suggestions as they do not capture or integrate browsing data from applications that operate independently of web browsers.
Innovation Solution
A system that tracks, indexes, and serves in-app browsing history through a centralized API, allowing search engines to utilize browsing data from multiple native applications, including spam detection and efficient data ranking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search systems only utilize browser application history data, then the system complexity remains low, but the search suggestion accuracy deteriorates because native application browsing history is not captured
Solution Approach 1:
The patent introduces a centralized API as an intermediary component that bridges native applications and the search system. This API collects browsing history from multiple native applications and makes it available to the search system, enabling accurate search suggestions without requiring direct integration between the search system and each native application. The intermediary handles the complexity of data collection and normalization, allowing the search system to utilize comprehensive history data while maintaining manageable system architecture.
2Measurement precision
If browsing history from multiple native applications is collected and integrated, then the search suggestion accuracy improves, but the device resources consumed increase
Solution Approach 1:
The patent implements preliminary action by having native applications report their browsing history to a centralized storage location through the API before the search system needs it. This allows the search system to retrieve pre-collected history data on-demand rather than continuously monitoring and collecting data from multiple applications in real-time. The history data is prepared and available in advance, reducing the computational and energy resources needed during actual search operations.
3Adaptability or versatility
If a centralized API is implemented to track in-app history, then the ability to provide personalized search suggestions improves, but the device complexity increases
Solution Approach 1:
The centralized API is designed with universality to serve multiple functions: it collects browsing history from various native applications, stores the data in a standardized format, provides data to the search system, and potentially supports other features. This multi-functional design consolidates what would otherwise require separate components for each function, reducing overall device complexity while enabling personalized search suggestions through comprehensive history tracking.
Data Source
AI summary
Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.