Unified Indexing for Native App and Web Content Consistency
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Solution Overview
Problem
Search engines face challenges in verifying the consistency of content between native applications and their corresponding web resources, leading to inconsistent search results and increased maintenance due to separate indexing for web resources and native applications.
Innovation Solution
A method is implemented to access and validate address pairs between native applications and web resources, determining content consistency using techniques like entity matching, n-gram similarity, and feature similarity, and storing validation data to ensure consistent content is indexed and scored uniformly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If separate indexing is performed for web resources and native applications, then comprehensive content coverage is achieved, but maintenance complexity and operational overhead increase
Solution Approach 1:
The patent merges the indexing of web resources and native applications into a unified index structure. The system maintains a single index that contains entries for both web resources (identified by URLs) and native applications (identified by application identifiers), allowing comprehensive content coverage while eliminating the need for separate indexing systems and reducing maintenance complexity.
2Reliability
If content consistency verification is performed between native applications and web resources, then search result accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary content consistency verification during the indexing phase, before search queries are processed. By pre-verifying that native applications and their corresponding web resources provide consistent content, the system ensures search accuracy without adding verification overhead to real-time query processing.
Solution Approach 2:
The patent replaces manual or complex verification processes with automated content comparison techniques. The system automatically compares content between native applications and web resources using algorithmic approaches, substituting mechanical verification methods with efficient computational processes that reduce processing time.
3Loss of information
If multiple separate indexes are maintained for different content sources, then content specificity is preserved, but operational efficiency and maintenance ease deteriorate
Solution Approach 1:
The unified index structure incorporates local quality markers that preserve content specificity for different sources. Each index entry contains metadata indicating whether the content originates from a web resource or a native application, allowing the system to maintain source-specific characteristics while operating from a single index, thereby improving maintenance ease without losing content specificity.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for verifying consistency between content of a native application and content of a corresponding resource that is provided separately from the content of the native application.


