Address Suggestion System Using Keyword Scoring
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Solution Overview
Problem
In large organizations, users often struggle to identify and contact subject matter experts due to limited personal knowledge and the inefficiencies of existing directory systems, leading to delayed and resource-intensive processes for message delivery.
Innovation Solution
A system and method that automatically suggests appropriate addressees for messages based on the content, using a keyword association with user profiles generated from message handling data, allowing users to select relevant experts directly within the message composition screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users rely on personal contacts and manual directory searching to identify subject matter experts, then they can maintain simple contact methods, but the time required to locate the appropriate expert increases significantly
Solution Approach 1:
The patent introduces an automated intermediary system that analyzes message content and automatically identifies suitable subject matter experts. This intermediary process resolves the contradiction by handling the complex search and matching tasks automatically, allowing users to maintain simple contact methods while dramatically reducing the time to locate experts through automated content-based matching.
Solution Approach 2:
The system enables self-service by automatically analyzing message content and identifying appropriate recipients without requiring manual directory searching. The automated analysis of message body, subject line, and keywords performs the expert identification task independently, reducing both time loss and operational complexity for users.
2Productivity
If users manually search through organizational directories to find experts, then they can ensure accurate contact information, but the processing overhead and resource consumption increase
Solution Approach 1:
The patent replaces the mechanical manual directory search process with an automated computational system. Instead of users manually browsing directories, the system automatically analyzes message content, extracts keywords, and matches them with expert profiles, thereby improving productivity while reducing the processing overhead associated with manual searching and human cognitive resources.
Solution Approach 2:
The system changes the parameters of the search process by shifting from manual browsing parameters to automated content analysis parameters. It analyzes message body, subject line, and keywords to dynamically identify recipients, transforming the search mechanism from a static directory lookup to a dynamic content-based matching process that improves efficiency.
3Reliability
If users contact only those in their personal circle, then they can maintain simple communication patterns, but the reach and effectiveness of connecting with relevant expertise is limited
Solution Approach 1:
The automated intermediary system bridges the gap between simple communication patterns and accurate expert identification. It analyzes message content and automatically identifies suitable experts beyond the user's personal circle, maintaining the simplicity of the user's communication approach while significantly improving the reliability of expert identification through automated content-based matching.
Solution Approach 2:
The system uses feedback from message content analysis to automatically identify and suggest appropriate recipients. By analyzing the message body, subject line, and keywords, the system provides feedback-driven recipient suggestions that improve expert identification accuracy while keeping the communication pattern simple for the user to follow.
Data Source
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AI summary
A system and method are provided for identifying suggested addressees of for messages being composed, based on keyword content of the composed message's subject line and/or message body. When a message is being composed at a messaging client, a request comprising at least a portion of the subject line or body is sent to a server or similar device. In response, the server provides an identification of possible addressees having a highest score associated with keywords identified in the transmitted portion. One or more of these addressees can be selected for inclusion in an address field of the composed message. Identification of the suggested addressees is based on a score assessed based on the number of forwarded messages received by those addressees containing those keywords, where repeated receipt of forwarded messages increases the addressee's score associated with those keywords.