Chat System Keyword Extraction for Location Recommendations
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Solution Overview
Problem
Current voice chat systems require manual input of geographical locations or service sites, which can be inaccurate and cumbersome, necessitating the use of multiple applications, increasing operational complexity.
Innovation Solution
A method and system that processes instant messages during a chat session to identify relevant keywords, converts voice interactions to text using voice recognition, and provides location information recommendations within the chat interface, integrating search functionality directly into the chat environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input is used to search for location information, then the user can obtain location data, but the operation becomes complicated and time-consuming
Solution Approach 1:
The system automatically extracts location information from voice chat content without requiring manual user input. The server processes the chat messages, identifies location keywords, and retrieves location data automatically, allowing the system to serve itself rather than requiring user intervention for each search operation.
Solution Approach 2:
The system pre-processes voice chat content by converting speech to text and continuously monitoring for location-related keywords. By preparing and analyzing chat content in advance, the system can quickly retrieve and present location information when needed, eliminating the need for users to manually initiate searches.
2Measurement precision
If manual input is used to search for location information, then the user can obtain location data, but the time required increases
Solution Approach 1:
The system continuously processes chat messages and maintains a ready state for location information retrieval. By continuously analyzing the conversation flow and pre-fetching potential location data, the system ensures that location information is available immediately when users mention locations, eliminating delays associated with manual search initiation.
Solution Approach 2:
The system performs preliminary processing of voice chat content by converting speech to text and continuously monitoring for location-related keywords. By preparing and analyzing chat content in advance, the system can quickly retrieve and present location information when needed, eliminating the need for users to manually initiate searches.
3Adaptability or versatility
If multiple applications are used for chat and location search, then comprehensive functionality is achieved, but device complexity increases
Solution Approach 1:
The system merges the location search functionality directly into the voice chat application by deploying a server that processes chat messages and retrieves location information. This integration allows users to obtain location data within the same application interface where they are chatting, eliminating the need to switch between separate chat and location search applications.
Solution Approach 2:
The voice chat application is enhanced with multi-functionality by incorporating location information retrieval capabilities. The server system enables the chat application to perform both communication and location search functions, making the application more versatile and reducing the need for multiple separate applications.
4Ease of operation
If voice recognition is used to convert speech to text, then manual input is eliminated, but processing time increases
Solution Approach 1:
The system performs voice recognition and text processing in the background continuously, converting speech to text as it is spoken during the chat session. By initiating the recognition process immediately and processing audio streams in real-time rather than batch processing after the fact, the system minimizes perceived processing delays while maintaining input convenience.
Data Source
AI summary
Method and server system for providing recommendations during a chat session are disclosed. The method includes: processing instant messages transmitted during a chat session between a first user and one or more second users to obtain one or more keywords of a current conversation between the first user and the one or more second users; selecting at least one of the one or more keywords in accordance with a determination that the at least one keyword has remained relevant to the current conversation for at least a threshold time period; identifying one or more information items relevant to the at least one keyword in accordance with the selection of the at least one keyword; and providing the one or more information items to at least one of the first and second users for display within a conversation interface displaying the current conversation between the first and second users.