Recursive Document Network Searching System with Learned Links
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Solution Overview
Problem
Conventional information retrieval systems are inefficient due to fixedly mapped paths that do not account for context, leading to wasted time and effort in locating and re-locating desired information, and fail to leverage previous retrieval sessions effectively.
Innovation Solution
A recursive document network searching system that combines manually created and learned network link components, allowing for dynamic and context-sensitive mapping of help items, enabling efficient retrieval by receiving search parameters, locating entry points, and associating connection strength ratings with relational links to display relevant documents recursively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixedly mapped paths are used in conventional information retrieval systems, then the system structure is simple and easy to implement, but the retrieval efficiency deteriorates because the paths cannot adapt to different contexts and require users to follow the same inefficient path repeatedly
Solution Approach 1:
The patent implements dynamic path mapping by allowing the system to learn from user interactions and adapt the navigation paths in real-time. The help information system transitions from static fixed paths to dynamic contexts-aware paths that can change based on user behavior patterns, session history, and document relationships, thereby improving retrieval efficiency without requiring complete system redesign
Solution Approach 2:
The system performs self-learning and self-optimization by automatically analyzing user interactions with help documents and adjusting the navigation paths accordingly. The learned paths are stored and reused for subsequent queries, enabling the system to improve its own performance without external intervention or manual reconfiguration of the help structure
2Loss of time
If conventional search systems require users to re-traverse the same navigation path for repeated queries, then the database structure remains simple, but the time consumption increases significantly for subsequent information retrieval operations
Solution Approach 1:
The system performs preliminary learning during initial user interactions to establish optimized navigation paths. By analyzing and storing the most effective paths users take to reach help information, the system prepares these learned paths in advance for subsequent queries, eliminating the need for users to re-traverse inefficient paths and significantly reducing time consumption for repeated information retrieval operations
3Adaptability or versatility
If manual help menu paths are used, then the system is easy to control and maintain, but the adaptability to different user contexts and situations deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor and analyze user interactions with help documents. This feedback loop enables the system to learn from actual usage patterns and automatically adjust the help navigation paths to better match user needs and contexts, achieving high adaptability while maintaining ease of use through automated rather than manual configuration
Data Source
AI summary
An apparatus and method for a recursive document network searching system comprising a searchable document database containing multiple root and sub-root documents containing relational links to other documents where the relational links are manually created or are created by way learned functional components. An inventive aspect of this work is the ability to co-mingle the manual and learned components of such structures so that the user can have an efficient system for and method of a convenient and economical retrieval of the one desired informational item in an informational retrieval system that allows leveraging of the time and effort invested during prior information retrieval sessions; and can have an efficient system and method for a dynamic and context sensitive mapping of help items in a help information retrieval system. The documents at any point in the network can contain relational links to other documents both for the purposes of constructing a network. This network can be cyclic or acyclic.