Voice Query Text Push Information Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing artificial intelligence conversation systems face challenges in efficiently processing voice query requests, particularly in extracting and presenting relevant information to users in a concise and user-friendly manner, especially when the information exceeds certain word thresholds or requires additional context like website names or picture information.
Innovation Solution
A method and apparatus that parse voice query requests to obtain text query information, search for corresponding text push information, process it to extract or combine relevant information, and play it back to the user, incorporating features like voice speed control and detailed information acquisition, while determining if the word count exceeds a threshold to curate the output effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system plays complete text push information obtained by searching, then the information completeness is improved, but the user experience deteriorates when the word number exceeds a preset threshold due to information overload
Solution Approach 1:
The system extracts only the most relevant and concise information from the complete text push information when the word count exceeds the threshold. The processing unit identifies and extracts key information elements that directly answer the user's voice query, removing redundant or less important content to maintain user experience while preserving essential information.
Solution Approach 2:
The system dynamically changes the parameter of information quantity based on the word count threshold. When the complete text push information exceeds the preset threshold, the system adjusts the information quantity parameter by providing only extracted key information rather than the complete text, thus adapting to user needs and preventing information overload.
2Ease of operation
If the system extracts and processes text push information to meet word thresholds, then the user experience is improved, but the information completeness deteriorates
Solution Approach 1:
The system implements a feedback mechanism where the processing unit evaluates the extracted information against the original text push information. It ensures that the extracted key information adequately represents the complete information by comparing essential elements, thus maintaining information completeness while optimizing for user experience through concise presentation.
Solution Approach 2:
The system performs preliminary extraction and processing of text push information before delivering it to the user. By pre-identifying and extracting key information elements that meet the word threshold requirements, the system prepares optimized information in advance, ensuring both user experience and information completeness are maintained without requiring post-processing adjustments.
3Measurement precision
If the system provides detailed text push information, then the information accuracy is improved, but the information delivery time deteriorates due to processing overhead
Solution Approach 1:
The system performs preliminary extraction of key information elements from the text push information during the processing stage. By pre-identifying and extracting essential information that maintains accuracy, the system reduces the amount of data that needs to be delivered and played back, thus shortening information delivery time while preserving information accuracy through careful selection of key content.
4Loss of information
If the system processes and extracts information from text push data, then the information relevance is improved, but the system complexity deteriorates
Solution Approach 1:
The system employs an extraction mechanism that identifies and removes irrelevant information from the text push data, keeping only the most relevant content related to the user's voice query. This extraction process improves information relevance by filtering out unnecessary details while maintaining a relatively simple system architecture through rule-based or algorithmic filtering rather than complex processing pipelines.
Data Source
AI summary
Embodiments of the present disclosure disclose a method and apparatus for processing information. A specific implementation of the method includes: parsing a received voice query request sent by a user to obtain text query information corresponding to the voice query request; obtaining text push information obtained by searching using the text query information; processing the text push information to obtain to-be-pushed information corresponding to the text push information; and playing the to-be-pushed information. The implementation can play information when the user is not convenient to browse the information, so that the user can obtain the information in time.