Messaging Recipient Determination via Semantic Relevance
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Solution Overview
Problem
Users of mobile computing devices face inconvenience and errors when engaging in multiple messaging conversations, as they need to maintain and switch between multiple conversation windows, leading to potential misdirection of messages to incorrect recipients and increased data transfer due to unintended recipients.
Innovation Solution
A system and method that determine the relevant messaging conversation for a message based on historical conversation data, using word correlation and semantic relevance to automatically select the appropriate recipient, thereby eliminating the need for users to manually switch between conversation windows and reducing errors in message delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually switch between multiple conversation windows to send messages, then message delivery accuracy improves, but user operation complexity and time consumption increase
Solution Approach 1:
The system automatically determines the target conversation and recipient by analyzing the message content itself, without requiring manual user intervention to select the conversation window. The processor extracts keywords from the message, compares them with historical conversation data, and autonomously identifies the intended recipient, making the system self-serve the user's intent.
Solution Approach 2:
The system pre-processes and stores historical conversation data including keywords and recipient information before message sending is required. When a user composes a message, the system has already prepared the conversation database for rapid comparison and matching, enabling quick automatic recipient identification without manual window switching.
2Measurement precision
If users manually switch between multiple conversation windows, then message recipient precision improves, but time consumption increases
Solution Approach 1:
The system replaces the manual mechanical action of switching conversation windows with an automated information processing system. The processor automatically compares message keywords against stored conversation data using algorithmic matching, substituting the manual window-switching mechanism with automated digital pattern recognition and data retrieval.
Solution Approach 2:
The system creates and maintains copies of historical conversation data including keywords and recipient information in a searchable database format. This allows rapid comparison and matching of new messages against stored conversation patterns without requiring users to physically navigate through original conversation windows, significantly reducing time consumption while maintaining accuracy.
3Device complexity
If messages are sent without automatic recipient determination, then device complexity reduces, but data transfer efficiency worsens due to excess retransmissions
Solution Approach 1:
The system segments the message processing function into distinct components: keyword extraction from the message, separate comparison operations against historical conversation data, recipient identification based on matching results, and final message routing. This modular segmentation enables efficient automated recipient determination with manageable system complexity, preventing excess retransmissions by ensuring correct first-time delivery.
Data Source
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AI summary
Methods and apparatuses are provided for facilitating determination of a message recipient. A method may include determining a message to be sent in one of multiple active messaging conversations. The method may further include determining a conversation to which the message is relevant from among the active messaging conversations based at least in part on data from historical conversations. The method may additionally include designating the message to be sent to at least one recipient. The at least one recipient may be a party participating in the determined conversation. Corresponding apparatuses are also provided.