Query Rewrite Input Language Standardization
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Solution Overview
Problem
Existing query rewriting systems in search engines face conflicts and inefficiencies due to the lack of standardized rules, leading to unpredictable search results, especially with large numbers of query rewrites, which can impact response time and user query processing.
Innovation Solution
Implementing a query rewrite input language (QRIL) system that transcodes individual rewrites into standardized records, using a QRIL processor to resolve conflicts and generate standardized rewrites based on precedence rules, and loading these records into memory cache for rapid query processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If query rewriting is used to customize search results, then search result relevance is improved, but system complexity increases due to managing large numbers of rewrites
Solution Approach 1:
The patent introduces QRIL (Query Rewrite Input Language) as an intermediary standardized format between the complex rewrite system and the search engine. QRIL records serve as a mediator that structures rewrite rules in a consistent, manageable way, reducing system complexity while maintaining the ability to customize search results effectively
Solution Approach 2:
The patent changes the parameter of rewrite rule representation from ad-hoc formats to a standardized QRIL format with specific parameters (trigger, rewrite, constraints, metaflags). This parameter standardization makes the rewrite system more manageable and less complex while preserving customization capabilities
2Adaptability or versatility
If ad-hoc query rewrites are added to customize results, then search customization capability is improved, but conflicts between rewrites increase
Solution Approach 1:
The patent segments rewrite rules into discrete QRIL records with specific components (trigger, rewrite, constraints, metaflags). Each rewrite is broken down into manageable segments that can be independently analyzed for conflicts, making it easier to maintain customization capability while reducing conflicts through systematic organization
Solution Approach 2:
The patent implements a feedback mechanism where QRIL records are processed to generate standardized rewrites, which are then tested and validated before being applied to the search engine. This feedback loop allows conflicts to be detected and resolved systematically, maintaining rewrite consistency while preserving customization capability
3Reliability
If standardized QRIL records are processed, then rewrite conflict resolution is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary processing of QRIL records to generate standardized rewrites before they are needed for actual search queries. By pre-processing and validating QRIL records in advance, the system resolves conflicts beforehand, maintaining reliability while minimizing processing time during actual query execution
Solution Approach 2:
The patent changes the state of rewrite rules from unprocessed QRIL records to processed standardized rewrites. This parameter change from raw format to processed format enables efficient retrieval and application during search operations, reducing processing time while maintaining conflict resolution capability
Data Source
AI summary
Various embodiments include systems and methods tier processing query rewrite records to generate standardized query rewrites usable by a search engine. Such systems and method may involve analysis of query rewrite input language (QRIL) records to identify relationships and conflicts between multiple QRIL records, and to resolve these relationships and conflicts to generate a standardized rewrite in a semantic language recognizable by the search engine. Such systems and methods may gather QRIL records from a QRIL record database, process the QRIL records using precedence rules, and then communicate a set of standardized and optimized query rewrites to the search engine.