Device-Specific Search Index Segmentation for App Relevance
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Solution Overview
Problem
The increasing diversity of user devices and operating systems leads to inconsistent application experiences, as existing search systems fail to effectively tailor search results based on device type and operating system, resulting in relevance issues for users.
Innovation Solution
A method that receives a search query and device type identifier, identifies a consideration set of application records by querying device-specific and general search indexes, and generates device-specific search results by incorporating device-specific reviews and ratings, ensuring relevance based on the user's device type and operating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are tailored to specific device types and operating systems, then relevance of search results is improved, but system complexity increases due to maintaining multiple device-specific indexes and processing logic
Solution Approach 1:
The patent segments the search index into multiple device-specific indexes, where each index is tailored to a particular device type or operating system. This segmentation allows the system to retrieve more relevant results for each device category while maintaining manageable index structures that can be independently optimized and updated.
Solution Approach 2:
The patent applies local quality by creating device-specific search indexes with customized weighting schemes and relevance criteria for different device types. Each index is optimized with local quality characteristics appropriate to its target device category, such as emphasizing different application categories or performance metrics for mobile versus desktop devices.
2Measurement precision
If device-specific search indexes are maintained for multiple device types, then search accuracy is improved, but data storage requirements and processing overhead increase
Solution Approach 1:
The patent merges search data across multiple device types by consolidating application metadata, user reviews, and performance data into unified device-specific indexes. This merging approach reduces redundant storage of identical data across different indexes while maintaining the ability to retrieve device-specific results through targeted queries.
Solution Approach 2:
The patent creates universal search index structures that can serve multiple device types simultaneously. Each index is designed with multi-functionality to handle various query types and device categories, reducing the need for completely separate indexes for each device type while still providing customized search results.
Data Source
AI summary
A method includes receiving, by a processing system, a search query and a device type identifier from a user device and identifying, by the processing system, a consideration set of application records based on the search query and the device type identifier. Each application record of the consideration set corresponds to a respective software application and has an initial score associated therewith indicating a degree to which the application record matches the search query. The method also includes determining, by the processing system, a result score of the application record based on the initial score and features corresponding to the application record for each application record. The method further includes generating, by the processing system, device-specific search results based on the consideration set of application records and the result scores thereof and transmitting, by the processing system, the device-specific search results to the user device.