Document Signature Search Engine Index Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search engines face inefficiencies in accurately measuring document relevance, returning large lists of non-relevant documents, and having computing-intensive models, along with slow search performance and high disk space usage due to nonlinear index structures and incremental updates challenges.
Innovation Solution
The implementation of a matching engine with signature generation that preprocesses documents to generate unique, informative signatures, allowing for efficient relevance detection and scalable search operations through asymmetric signature generation, reducing index database volume while maintaining accuracy and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search engines use traditional indexing methods, then they can store and retrieve documents, but they return large lists of non-relevant documents and have slow search performance
Solution Approach 1:
The patent extracts the essential characteristics of documents into compact signatures (e.g., hash values or feature vectors) that capture document identity and content essence. These signatures are stored in the index instead of full documents, enabling fast comparison and relevance detection without processing entire document contents during search operations.
Solution Approach 2:
The patent transforms documents from their original complex format into simplified parameter representations (signatures with specific characteristics like length, content features, and hash values). This parameter transformation enables efficient computational operations while preserving the ability to measure document relevance accurately.
2Measurement precision
If conventional search engines use detailed indexing models, then they can measure document relevance, but they consume high computing resources and disk space
Solution Approach 1:
The patent uses lightweight, disposable signature objects that can be quickly created, compared, and discarded. These signatures are inexpensive to generate and compare computationally, allowing for extensive use in relevance detection without significant resource consumption. Each signature serves its purpose in matching operations and can be replaced or regenerated efficiently.
Solution Approach 2:
The patent performs preliminary processing of documents to generate signatures before actual search operations. This advance preparation creates ready-to-use representations that eliminate the need for complex real-time analysis during searching, significantly reducing computing resource requirements while maintaining relevance detection accuracy.
3Adaptability or versatility
If conventional search engines use nonlinear index structures, then they can store documents flexibly, but they require high disk space and face incremental update challenges
Solution Approach 1:
The patent segments the index into two distinct components: a signature array that stores compact document representations and a file identifier index that maps signatures to document locations. This segmentation allows each component to be optimized independently, reducing overall disk space requirements while maintaining flexible document management capabilities.
Solution Approach 2:
The patent creates simplified copies of document information in the form of signatures that contain only the essential identifying and characteristic features. These signature copies replace full document storage in the index, dramatically reducing disk space requirements while preserving the ability to perform relevance detection and document retrieval operations.
Data Source
AI summary
A document signature index and search system is disclosed. The logical structure of the signature index that includes search tables is defined. Also specified is a system of creating, managing and using the signature index. The system includes an index engine and search engine. The search tables are compact in disk usage and suitable for differential computation, making large scale deployment feasible. With the introduction of meta-data and an algorithm of multiple value dual binary searching, the search engine based on the search tables is very efficient in searching for signatures from large search tables which may store millions of signatures. Other embodiments, aspects and features are also disclosed.