Conversation Data Query With Adjustable Scope Controls
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Solution Overview
Problem
Existing instant messaging tools face inefficiencies in data querying due to large data tables being shared, causing inconvenience in data retrieval.
Innovation Solution
A method and apparatus for data query that includes receiving a user's data query request, obtaining feedback information, and outputting a response message with interactive controls to adjust the query scope within a conversation interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users share large data tables in instant messaging conversations for data querying, then complete data can be provided for reference, but it causes inconvenience in data retrieval and reduces querying efficiency
Solution Approach 1:
The patent segments the data table into multiple selectable regions or ranges. Instead of sharing the entire large data table at once, users can divide the data into manageable segments and query specific portions, making data retrieval more convenient while maintaining access to complete data when needed.
Solution Approach 2:
The patent implements dynamic query scope adjustment where users can flexibly expand or contract the data query range based on their needs. The system allows users to start with a focused query and progressively expand the scope, or vice versa, making the data retrieval process adaptive and convenient rather than static and cumbersome.
2Adaptability or versatility
If users share multiple data tables with different content in conversations, then comprehensive data coverage is achieved, but it increases complexity in selecting and managing query data
Solution Approach 1:
The patent creates a universal query interface that can handle multiple data tables and formats through a unified system. Users interact with all data tables through the same query mechanism, which automatically adapts to different data structures and types, reducing the complexity of managing diverse data sources while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces an intermediary query system that sits between the user and multiple data tables. This intermediary layer manages the complexity of handling multiple data sources by providing a standardized interface, automatically routing queries to appropriate tables and formats, thereby reducing user burden while maintaining versatile data access.
3Productivity
If fixed query scope is used in data querying, then simple query processing is maintained, but it reduces flexibility in adjusting query parameters according to user needs
Solution Approach 1:
The patent implements dynamic query scope that can be adjusted in real-time based on user feedback and needs. The system starts with an initial query scope for efficient processing, then allows users to expand or contract the scope as needed, maintaining processing efficiency while gaining flexibility when adjustments are required.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors query results and user interactions, then uses this feedback to suggest or automatically adjust the query scope. This maintains efficient processing by sticking to proven effective scopes while providing flexibility when feedback indicates the need for scope adjustment.
Data Source
AI summary
This disclosure provides a method, an apparatus and an electronic device for data query. One specific embodiment of the method includes: receiving a data query request triggered by a user through a conversation interface of a target conversation; obtaining feedback information corresponding to the data query request; and, based on the feedback information, outputting a response message in the target conversation, wherein the response message includes an interactive control for the user to adjust a query scope through the interactive control. According to this implementation, a function for data query is provided within the conversation, thereby enhancing the flexibility of data queries, allowing the query scope to be adjusted based on needs of the user, improving data query efficiency, and enhancing the user experience.