Dynamic MDU Virtual Assistant Responses Through Document Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Designing and configuring virtual assistants for multi-dwelling units (MDUs) is complicated and time-consuming, often requiring significant technical expertise, and modifying their functionality is difficult without professional intervention, leading to high costs and reduced utility.
Innovation Solution
A system that enables user management and customization of virtual assistant responses through a graphical user interface (GUI), allowing non-technical users to select, modify, and store responses without coding, leveraging artificial intelligence and machine learning to generate domain-specific answers from input documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual assistants are designed and configured with domain-specific responses, then the relevance and accuracy of responses improve, but the complexity of design and configuration increases significantly
Solution Approach 1:
The patent introduces a response management system as an intermediary layer between the virtual assistant and the domain-specific knowledge base. This system automatically retrieves, filters, and manages domain-specific responses, allowing the virtual assistant to access relevant information without requiring complex manual configuration of each response. The intermediary handles the complexity of maintaining domain-specific knowledge while keeping the virtual assistant's core functionality simple.
Solution Approach 2:
The system enables self-service configuration where users can add, modify, or remove domain-specific responses through intuitive interfaces without requiring technical expertise in programming or database management. The response management system automatically updates its knowledge base when users make changes, eliminating the need for developers to manually reconfigure the virtual assistant after each modification.
2Adaptability or versatility
If virtual assistants are customized for specific domains, then the specificity and utility of responses improve, but the time and cost required for configuration increase
Solution Approach 1:
The system pre-configures a framework for domain-specific responses that includes templates, automated retrieval mechanisms, and pre-established knowledge base structures. Users can leverage these pre-built components rather than creating everything from scratch, significantly reducing configuration time while maintaining domain-specific customization. The preliminary action of establishing the response management framework eliminates repetitive manual configuration tasks.
Solution Approach 2:
The system allows users to customize domain-specific responses by modifying parameters such as response tone, formatting, and content selection rather than rewriting entire response structures. Users can adjust parameters like response length, style, or which knowledge base entries to retrieve, enabling domain-specific customization without the time cost of reconfiguring the entire virtual assistant architecture.
3Measurement precision
If virtual assistants are configured with extensive domain-specific knowledge, then the quality of responses improves, but the difficulty of modification increases
Solution Approach 1:
The patent segments the virtual assistant's knowledge base into modular domain-specific response units that can be independently added, modified, or removed. Each domain-specific knowledge module is stored as a separate entity in the response management system, allowing users to modify only the relevant portion without affecting the rest of the system. This segmentation makes maintenance and updates straightforward while preserving overall system accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where users can indicate when responses need updating or correction. The response management system automatically propagates these feedback signals to update the relevant knowledge base entries without requiring system-wide reconfiguration. This feedback loop enables continuous improvement of response accuracy while maintaining ease of modification through automated update processes.
4Reliability
If virtual assistants require technical expertise for configuration and modification, then the reliability of the system improves, but the accessibility and ease of use decrease
Solution Approach 1:
The response management system serves as an intermediary that translates user-friendly input into reliable system configurations. Users interact with intuitive graphical interfaces rather than coding or database tools, while the intermediary layer ensures that changes are implemented correctly and maintain system reliability. This mediator protects users from technical complexity while preserving system robustness.
Solution Approach 2:
The system provides self-service capabilities where users can independently configure, modify, and manage domain-specific responses without requiring technical expertise. The automated response management handles the technical aspects of implementation, validation, and integration, allowing users to reliably modify the system through simple point-and-click operations rather than requiring programming knowledge.
Data Source
AI summary
The present disclosure provides systems, methods, and computer-readable storage devices for enabling user management and control of responses of a virtual assistant for use in responding to questions related to multi-dwelling units. To illustrate, an input vector may be determined for received user input containing a question. A relevant document vector and predetermined response may be selected based on the input vector. Similarity scores may be computed between the input vector and each of the document vector and the predetermined response. The document vector or the predetermined response may be selected based on the similarity scores and may be provided, with the input vector, to a model to determine a response that is output as an answer to the question.