Natural Language Response Generation Using User Context
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Solution Overview
Problem
Current natural language query systems provide monotonous and machine-like responses, failing to consider user-specific attributes such as time of day, location, or device capabilities, leading to a lack of personalization and human-like interaction.
Innovation Solution
A natural language processing system that generates intelligent responses based on user attributes, such as time of day, location, and device capabilities, by matching queries to templates, retrieving relevant information, and selecting response templates that tailor the output to the user's preferences and device capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system provides consistent responses to the same queries, then reliability is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements dynamic response generation by introducing multiple response templates (direct, indirect, conversational) that are selected based on user attributes such as time of day, location, and device type. The system transitions from static, fixed responses to dynamic, context-aware responses while maintaining consistency through structured template selection criteria.
2Adaptability or versatility
If the system generates different responses based on user attributes, then adaptability is improved, but device complexity deteriorates
Solution Approach 1:
The patent segments the response generation system into distinct components: query processing module, user attribute retrieval module, response template selection module, and response generation module. Each component handles a specific aspect of the personalization process, making the overall complex system manageable and maintainable through modular architecture.
Solution Approach 2:
The patent introduces response templates as intermediary structures that mediate between the user's query and the final personalized response. These templates serve as pre-defined patterns that can be selectively applied based on user attributes, simplifying the complexity by providing a structured intermediate layer rather than generating responses from scratch each time.
3Loss of information
If the system retrieves and processes multiple user attributes, then response quality is improved, but loss of time deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple response templates (direct, indirect, conversational) and organizing user attributes in advance. When a query is received, the system quickly matches the query against templates and selects the appropriate one based on pre-retrieved user attributes, rather than generating responses from scratch, thus reducing response time while maintaining quality.
Data Source
AI summary
Methods and systems are provided for generating a response to a natural language query. Specifically, the natural language query is received and a query template that corresponds to the natural language query is determined. One or more search results corresponding to the natural language query are retrieved. One or more attributes associated with a user are selected based on selection criteria. Based on those attributes, a response template previously assigned to the query template is identified. A response to the natural language query is generated based on the identified response template and the retrieved one or more search results.