Messaging Personal Assistant Intent Detection
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Solution Overview
Problem
Conventional information service systems face challenges in efficiently providing relevant information to users due to the sheer volume of goods and services available, often requiring users to manually search through unrelated information and relying on artificial intelligence systems that may provide unhelpful responses.
Innovation Solution
A system and method that utilize natural language processing to determine the intent of a user's request in a messaging application, configuring an agent user interface with relevant options to streamline the information retrieval process, and interacting with third-party services to provide accurate and timely information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional information service systems require users to manually search for information, then users can access a wide range of goods and services, but the time and effort required to find relevant information increases significantly
Solution Approach 1:
The system performs preliminary action by pre-processing user queries through natural language processing to identify intent, domain, task, and parameters before the user needs to search. The system proactively retrieves and organizes relevant information from multiple sources in advance, so when the user needs information, it is already prepared and presented in a structured manner, eliminating the need for manual searching through large volumes of data.
2Reliability
If conventional systems use artificial intelligence systems to respond to queries, then relevant information can be provided, but the AI systems often provide unrelated or unhelpful responses
Solution Approach 1:
The system implements feedback mechanisms where user interactions with the messaging application provide continuous feedback to refine the AI responses. The system monitors user engagement with provided information and adjusts its response strategy accordingly, ensuring that future responses are more aligned with user needs and preferences, thereby improving both reliability and ease of operation.
Solution Approach 2:
The system applies local quality by customizing the AI response based on the specific context of each query, the user's historical data, and the identified intent. Rather than using generic AI responses, the system tailors information retrieval and presentation to match the specific local needs of each user interaction, ensuring high relevance and user satisfaction.
3Adaptability or versatility
If the agent user interface includes multiple options for fulfilling requests, then the agent can provide comprehensive service, but the complexity of the interface increases
Solution Approach 1:
The agent user interface is segmented into modular components based on the identified intent and domain. Each segment handles a specific aspect of the request (e.g., information retrieval, task execution, parameter configuration), allowing the interface to present comprehensive options in an organized, hierarchical manner that reduces perceived complexity while maintaining service comprehensiveness.
Data Source
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AI summary
The present disclosure relates to systems, methods, and devices for providing personal assistant service via messaging. In particular, one or more embodiments receive a request for personal assistant service in an electronic message from a user, assign the request to an agent, determine an intent of the request, and configure an agent user interface to include one or more options in accordance with the determined intent of the request.