Digital Assistant Server Task Subject Metainformation Processing
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Solution Overview
Problem
Users find it difficult to explore the various application scenarios of digital assistants and enrich their user experience, as existing systems lack efficient methods for processing task-specific requests and managing task subjects.
Innovation Solution
A method and system for processing information in a digital assistant server, which involves receiving a request associated with a task subject, determining metainformation of the task subject, and processing the request based on this metainformation, thereby enabling scene-based applications and expanding the digital assistant's application scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the digital assistant processes general requests without task subject metainformation, then the processing is simple and fast, but the application scenarios remain limited and user experience is not enriched
Solution Approach 1:
The system performs preliminary action by pre-storing metainformation about task subjects (such as skills, parameters, and contextual data) in the server before actual request processing occurs. This allows the system to quickly retrieve and apply relevant metainformation when processing user requests, expanding application scenarios without adding complexity to the real-time processing flow.
Solution Approach 2:
The metainformation acts as an intermediary between the user's simple request and the complex processing required. By introducing this intermediate layer of pre-processed task subject information, the system can handle diverse application scenarios without making the core processing logic more complex, as the metainformation bridges the gap between general requests and specific task requirements.
2Ease of operation
If the system stores and processes task subject metainformation, then user interaction is enhanced and application scenarios expand, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically managing task subject metainformation storage, retrieval, and application without requiring user intervention. The server autonomously handles the complexity of metainformation management, while users simply interact through natural requests, thereby enhancing ease of operation without exposing system complexity to the user.
Solution Approach 2:
The system creates simplified copies of complex task information in the form of metainformation structures. Instead of requiring users to interact with complex task configurations directly, the system uses streamlined metainformation representations that capture essential task characteristics, making user interaction easier while the full complexity remains managed on the server side.
Data Source
AI summary
The present disclosure provides a method for processing information, device, and medium that are applied to a server of a digital assistant. The method includes: receiving a first request associated with a first task subject sent by a client of the digital assistant; determining metainformation of the first task subject according to the first request, wherein the metainformation of the first task subject is stored in the server of the digital assistant; and processing the first request according to the metainformation of the first task subject. In embodiments of the present disclosure, the server of the digital assistant can support task subject-related functions to realize the scene-based application of the digital assistant and further expand the application scene of the digital assistant.