Local Search Indexer Hierarchical Directory Structure
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Solution Overview
Problem
Conventional search engines often provide stale or outdated search results due to delayed updates and lack of control over content and prioritization, and they rely on cached web pages that may be modified or removed, leading to inaccurate results.
Innovation Solution
A local search indexer that organizes content using a hierarchical directory structure, builds search indices based on updates, and allows independent control over search patterns and prioritization, enabling the retrieval of the most current content and optimizing search processes by maintaining a search index for each directory and aggregating content from multiple levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional search engines use web crawling and caching to index web pages, then search coverage can be extensive, but search results become stale and outdated due to delayed updates
Solution Approach 1:
The system performs preliminary actions by notifying the indexer of content updates before they are published, allowing the search index to be updated in advance. This eliminates the delay inherent in conventional web crawling approaches where the system must wait to discover and then crawl updated content.
Solution Approach 2:
The system implements feedback mechanisms where the indexer receives notifications about content updates and automatically re-indexes affected pages. This continuous feedback loop ensures the search index remains synchronized with the latest content without requiring periodic full crawls.
2Reliability
If conventional search engines process entire web pages to build search patterns, then comprehensive indexing is achieved, but search efficiency decreases due to processing overhead
Solution Approach 1:
The system extracts only the specific content elements that need to be indexed from web pages, rather than processing entire pages. By focusing on relevant content portions and using structured data formats, the indexer achieves comprehensive coverage while significantly reducing processing overhead and improving search efficiency.
3Speed
If conventional search engines rely on cached web pages, then faster search results can be provided, but accuracy decreases when pages are modified or removed
Solution Approach 1:
The system updates the search index in advance before content changes are published, ensuring the index reflects the latest accurate information. This eliminates the problem of serving stale cached data while maintaining fast search response times through pre-computed indexes.
Solution Approach 2:
The notification-based feedback mechanism ensures the index is continuously updated in response to content changes. This real-time synchronization prevents accuracy issues associated with cached pages while maintaining search performance through an always-current index.
4Ease of operation
If conventional search engines use centralized indexing, then unified search control is achieved, but adaptability to specific website requirements decreases
Solution Approach 1:
The system enables each website to define its own indexing rules, content priorities, and search patterns specific to its needs. This local customization capability allows individual websites to optimize their search functionality while the overall system maintains centralized coordination and control.
Solution Approach 2:
The indexing system is segmented to allow independent configuration for different websites or content sources. Each segment can have customized indexing parameters while contributing to the unified search system, achieving both adaptability and centralized control.
Data Source
AI summary
Methods and apparatus provide for a local search indexer to allow for an optimized search within a web server that returns accurate search results while maintaining independent control as to defining search patterns, search prioritization, and updated content available for search. Specifically, the local search indexer organizes content according to a hierarchical directory structure at a web server. The hierarchical directory structure includes at least one directory level that provides at least one directory for storing the content. The local search indexer builds a search index associated with the directory and stores the search index at the web server. The search index is populated with indexed content based on an update of the content stored in the directory. The local search indexer employs a search engine, at the web server, to process search queries against the indexed content to provide a search result that includes the update of the content.