Recipient Prediction Module for Email Composition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manually entering multiple recipients for email messages, especially for large groups, is a slow and cumbersome process in current data communication systems.
Innovation Solution
A mobile communication device equipped with a recipient prediction module that predicts a list of additional possible recipients based on previous messages, allowing users to quickly select from a suggested list rather than typing each recipient's name.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually input recipient names in email address fields, then message delivery functionality is achieved, but the process becomes slow and cumbersome especially for large groups
Solution Approach 1:
The system performs preliminary actions by automatically generating a list of possible recipients based on the message subject and body content before the user needs to enter recipients. The recipient suggestion module analyzes the message content and proactively presents potential recipients, eliminating the need for users to manually type or search for recipient names.
Solution Approach 2:
The system serves itself by automatically analyzing message content and generating recipient suggestions without requiring user intervention. The recipient suggestion module independently processes the message subject and body, identifies potential recipients based on keywords and context, and presents the generated list to the user for selection.
2Measurement precision
If users type recipient names manually, then accurate recipient identification is achieved, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The recipient suggestion module acts as an intermediary between the user's message content and the recipient selection process. It analyzes the message subject and body, identifies potential recipients through keyword matching and context analysis, and presents a curated list of suggestions. This intermediary process maintains accuracy by presenting relevant recipients while significantly easing the operation for users.
Solution Approach 2:
The system replaces the mechanical process of manual typing and searching for recipient names with an automated computational process. The recipient suggestion module uses text analysis and pattern recognition to automatically generate recipient lists, substituting the manual mechanical action of typing with an automated intelligent system that maintains or improves accuracy.
Data Source
AI summary
A method and communications device is provided for determining a list of possible additional recipients to add to an electronic message that is composed by a user of the communications device for transmission to another communications device. Once the user indicates that there is an additional recipient for the distribution list of the electronic message, the device employs the method to create the list of possible additional recipients. The method may be implemented on a computer program product.


