Intelligent Interaction Processing for Smart Assistant Feedback
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Solution Overview
Problem
Conventional smart assistants provide limited and complex interactions, requiring users to input multiple queries for subsequent information, lacking intelligence and richness in response.
Innovation Solution
An intelligent interaction processing method that recognizes the intention behind a preceding feedback item and returns a subsequent feedback item based on that intention, using techniques such as keyword extraction, semantic analysis, template matching, or machine learning, to provide subsequent information without additional user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a conventional smart assistant returns a single feedback item for each user query, then the system structure remains simple, but the interaction intelligence and richness are insufficient and require multiple user inputs for subsequent information
Solution Approach 1:
The system performs preliminary intention recognition on the feedback item before the user needs to request it. By analyzing the semantic meaning of the feedback item and predicting what information the user will likely need next, the system prepares and returns subsequent feedback items in advance, eliminating the need for users to input additional queries for related information.
Solution Approach 2:
The system implements a feedback mechanism where the intention recognition module continuously analyzes returned feedback items and uses this information to generate subsequent relevant feedback. This creates a closed-loop interaction where each feedback item informs the generation of the next, enabling the system to proactively provide information based on the conversational context.
2Ease of operation
If the smart assistant requires users to input multiple queries for subsequent information, then the system processing remains simple, but the user operations become complicated and time-consuming
Solution Approach 1:
The system performs self-service by automatically analyzing its own feedback items and generating subsequent relevant information without requiring user initiation. The intention recognition module enables the system to understand the context of returned feedback and autonomously determine what additional information would be useful, thereby serving the user's information needs without requiring additional user inputs or time.
3Adaptability or versatility
If the smart assistant provides only single feedback items, then the information processing remains simple, but the interaction richness and intelligence are insufficient
Solution Approach 1:
The system implements multi-functionality by integrating intention recognition, semantic analysis, and predictive feedback generation into the existing smart assistant framework. The intention recognition module serves as a universal component that can analyze various types of feedback items (weather, traffic, news, etc.) and generate appropriate subsequent feedback, making the system adaptable to diverse interaction scenarios without requiring separate processing logic for each type.
Data Source
AI summary
The present disclosure provides an intelligent interaction processing method and apparatus, a device and a computer storage medium. The method comprises: performing intention recognition for a preceding feedback item already returned to the user; continuing to return a subsequent feedback item to the user based on the intention of the preceding feedback item. According to the present disclosure, it is possible to guess the user's subsequent intention based on the preceding feedback item, and continue to return the desired subsequent feedback item to the user without the user's operations, so that the present disclosure is more intelligentized and richer and simplifies the user's operations.