Email Response Assessment Using Relationship Strength
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Solution Overview
Problem
Conventional email applications provide limited information to recipients about other recipients of the same electronic communication, making it difficult for them to decide whether to respond based on their relationships with responsive recipients.
Innovation Solution
An email management system that determines the strength of relationships between recipients using social networking concepts and data from sources like LDAP directories, generating a response assessment result to guide non-responsive recipients on whether to respond, displayed in a visual or audio format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional email applications provide only basic recipient lists, then the system complexity remains low, but recipients cannot make informed decisions about whether to respond
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between email recipients and response decision-making. This intermediary analyzes relationship data from multiple sources (social networking data, LDAP directories, organizational charts) and generates response assessment results, thereby providing recipients with informed information without requiring them to manually analyze complex relationship networks themselves.
Solution Approach 2:
The system implements feedback by providing recipients with response assessment results that indicate the likelihood of other recipients responding. This feedback loop allows recipients to make informed decisions about whether to respond, based on real-time analysis of relationship strength and other recipients' response patterns, thereby reducing information loss while maintaining manageable system complexity through automated analysis.
2Measurement precision
If the system analyzes relationship strength between all recipients, then response decision accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-establishing and storing relationship data from various sources (social networking profiles, LDAP directories, organizational charts) before email communication occurs. This pre-computed relationship infrastructure enables rapid response assessment when emails are sent, avoiding the need to analyze all relationships from scratch each time, thereby maintaining high measurement precision while reducing processing time.
Solution Approach 2:
The patent applies local quality by focusing relationship analysis on locally relevant data - specifically, the relationship strength between the current recipient and other recipients of the same email. Rather than computing all possible relationships in the system, the analysis is localized to only those relationships relevant to the specific email context, improving both precision and efficiency.
3Ease of operation
If visual indicators are provided to all recipients, then response management effectiveness improves, but information overload increases
Solution Approach 1:
The system applies local quality by providing customized visual indicators to each recipient based on their specific relationship context. Rather than displaying uniform information to all recipients, the system tailors the response assessment results to show only the relationships and response probabilities relevant to each individual recipient, thereby improving ease of operation while avoiding information overload through selective, context-specific information presentation.
Data Source
AI summary
A system and method is described for delivering an electronic communication to a recipient. The system and method determines whether at least one other recipient received the electronic communication. A relationship is identified between the recipient and the at least one other recipient. A response assessment result is generated in response to the determined relationship. The response assessment result is presented to the recipient.