Action Word Search System for Loosely Structured Databases
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Solution Overview
Problem
Current search engines are limited to searching in loosely structured documentation systems and fail to effectively connect and analyze content related to action words, leading to incomplete and irrelevant search results.
Innovation Solution
A system that analyzes search requests by identifying action words and matching them with corresponding content documents across various databases, using a machine learning model to predict user selections and provide relevant results based on user context and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional text search is used in loosely structured documentation systems, then search simplicity is maintained, but search result relevance and completeness deteriorate
Solution Approach 1:
The patent introduces an intermediary layer between the user query and the documentation database. This intermediary includes a query understanding module that parses user intent, identifies action words, and transforms natural language queries into structured search operations. This mediator enables precise searching across loosely structured documentation without requiring the documentation itself to be restructured, thereby improving search relevance while maintaining system simplicity.
Solution Approach 2:
The search system is segmented into distinct functional modules: query parsing module, action word identification module, database search module, and result ranking module. Each module handles a specific aspect of the search process, allowing the system to achieve complex search functionality through coordinated simple components. This segmentation improves search precision while keeping individual components manageable and the overall system architecture clear.
2Loss of information
If search connects multiple disconnected databases, then search completeness improves, but system complexity increases
Solution Approach 1:
The patent implements a universal search interface that can query multiple disconnected databases through a common protocol. The search system translates various database-specific queries into a unified search language, allowing it to access structured and unstructured data from multiple sources without requiring complex point-to-point integrations. This multi-functionality enables comprehensive search across disconnected databases while maintaining relatively simple system architecture.
Solution Approach 2:
An intermediary search engine layer is introduced between disconnected databases and user queries. This intermediary maintains a unified search index that aggregates information from multiple databases, translating diverse data formats into a common representation. This mediator enables complete information retrieval across disconnected databases without requiring direct complex integrations between each database pair.
3Measurement precision
If action word analysis is added to traditional search, then search accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of action words and user intent during the query parsing phase, before the actual database search. By pre-identifying key action words and categorizing query types in advance, the system prepares optimized search parameters that speed up the subsequent database querying process. This preliminary action ensures high search accuracy while minimizing processing time during the critical search execution phase.
Solution Approach 2:
The patent applies action word analysis selectively to specific portions of the query that contain action verbs, rather than analyzing the entire query uniformly. The system identifies and focuses computational resources on parsing action words and their associated objects, while handling other parts of the query with simpler processing. This localized quality approach maintains high search accuracy for critical action elements while reducing overall processing time.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods with facilitating the results of a search request by analyzing content that matches actions words. One example system includes operations to receiving a request via interactions with an interface from a client device, wherein the interface is associated with a repository of content and manages interactions between the client device and the repository of content based on the request from the user. Keywords are identified from the request. The keywords are matched from the request with at least one action from a repository of actions. In response to matching the keywords from the request with the at least one action, content documents are identified from the repository of content associated with the at least one action. The identified content documents are filtered based on the keywords from the request. The filtered content documents are provided to the client device.