AI Virtual Assistant Query Refinement for Specialized Search
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Solution Overview
Problem
Search engines and chatbots often fail to provide relevant and personalized content for specialized queries due to their inability to incorporate user-specific information and specialized knowledge, leading to ineffective information retrieval.
Innovation Solution
A virtual assistant system that refines user queries using user parameters and specialized knowledge from a knowledge substrate, generating personalized content suggestions by actively or passively gathering metadata and user responses to narrow and clarify search queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search engines are used to retrieve basic information, then simple queries can be answered, but specialized queries require exact matches and fail to return relevant content
Solution Approach 1:
The patent introduces a virtual assistant as an intermediary between the user and the content repository. This virtual assistant incorporates specialized knowledge bases and user parameter information to mediate the search process, transforming simple keyword matching into context-aware information retrieval that handles specialized queries effectively
2Adaptability or versatility
If chatbots are used with artificial intelligence, then conversational queries can be refined, but specialized knowledge and user-specific information are not incorporated
Solution Approach 1:
The patent merges multiple components into a unified virtual assistant system: conversational AI capabilities for query refinement, specialized knowledge bases for domain expertise, and user parameter processing for personalization. This combination enables the system to both refine queries conversationally and incorporate specialized knowledge and user context for accurate content suggestions
3Reliability
If user parameters are actively generated through questions, then personalized content suggestions improve, but interaction time and complexity increase
Solution Approach 1:
The patent implements preliminary action by proactively generating user parameters through targeted questions rather than waiting for users to provide all information upfront. The system performs initial query refinement and parameter generation in advance, then uses this preliminary information to provide personalized content suggestions without requiring extensive back-and-forth interaction
Data Source
AI summary
Provided is a method for generating a personalized content suggestion in response to a query from a user. The method may be performed by a system comprising one or more processors. The method may include receiving the query from the user, generating one or more user parameters associated with the user, determining a predicted content topic of the query, and generating the content suggestion based on the predicted content topic and the one or more user parameters.