Cross-Platform App Query Category Stamping
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Solution Overview
Problem
Search engines often return irrelevant results when searching for applications across different platforms, as they may not have significant experience with those platforms, leading to inefficient and ineffective searching.
Innovation Solution
The technique of category stamping, which uses search results from a well-developed platform to filter and improve search results for less experienced platforms by generating a category stamp based on application scores and platforms, allowing for cross-platform application query categories and enhancing search engine performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search engines return results across multiple platforms, then platform coverage is improved, but result relevance deteriorates due to limited experience with less common platforms
Solution Approach 1:
The patent uses a category stamp as an intermediary element that bridges the gap between multi-platform coverage and result relevance. The category stamp, generated from applications on a first platform, serves as a mediator to filter and refine search results from a second platform, enabling the search engine to maintain relevance across platforms without requiring extensive platform-specific experience for each platform
Solution Approach 2:
The patent performs preliminary action by generating category stamps in advance from applications on a well-established platform before conducting cross-platform searches. These pre-generated category stamps are then used to filter and improve search results from other platforms, allowing the search engine to leverage experience from one platform to enhance results on another platform without requiring extensive platform-specific training data
2Reliability
If search engines limit results to specific platforms, then result relevance is improved, but platform versatility deteriorates
Solution Approach 1:
The patent implements universality by creating a category stamp generation mechanism that works across multiple platforms. The same category stamp generated from applications on a first platform can be applied to filter and improve search results from a second platform, making the search system universally applicable across different platforms while maintaining relevance through the platform-agnostic category stamp approach
3Loss of information
If users browse extensively to find relevant applications, then search completeness is improved, but time efficiency deteriorates
Solution Approach 1:
The patent extracts the essential categorization information from applications on a well-established platform and condenses it into a category stamp. This extracted category stamp then serves to quickly filter and present relevant applications from other platforms, eliminating the need for users to extensively browse through irrelevant results while maintaining search completeness through targeted category-based filtering
Data Source
AI summary
A limited first set of search engine results can be retrieved from running an application query, with the limited first set of results being limited to applications associated with a first set of application platform(s). Categories of applications referenced in the limited first set of results can be identified, and a category stamp can be generated for the query based on applications in the first set of results that are associated with each of multiple categories. A limited second set of search engine results can be retrieved from running the query. The limited second set of results can be limited to applications associated with a second set of application platform(s), with the second set of results being limited to applications in a category corresponding to the category stamp for the query. An application list for the query can be generated using the limited second set of results.