Message Clustering Rules for Customizable Email Organization
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Solution Overview
Problem
Users face difficulties in navigating through large volumes of electronic messages, such as emails and social network posts, due to the lack of effective methods for categorization and control over message clustering.
Innovation Solution
A method and system for clustering electronic messages using sets of clustering rules that allow users to select and customize message clusters, assigning messages to clusters based on rules that do not require content relatedness, and displaying messages in a single cluster graphic, with options for expanding and searching within clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electronic messages are categorized into clusters based on content relatedness, then message navigation becomes easier, but user flexibility and control over categorization are reduced
Solution Approach 1:
The system implements dynamic clustering where cluster assignments are not fixed but can be adjusted based on user feedback and interactions. Users can modify cluster properties, add new clusters, and reassign messages, making the categorization system adaptable to individual user preferences while maintaining automated organization benefits
Solution Approach 2:
The messaging system divides messages into distinct clusters based on multiple criteria including content, sender, and user-defined rules. This segmentation allows users to navigate messages through multiple organizational dimensions simultaneously, providing both automated structure and user control over the segmentation logic
2Ease of operation
If messages are assigned to clusters based on content relatedness, then message organization improves, but navigation speed decreases due to complex analysis
Solution Approach 1:
The system performs preliminary clustering of messages upon receipt or batch processing, organizing messages into clusters before the user needs to navigate them. This advance organization reduces the computational burden during actual message retrieval and navigation, maintaining both good organization and fast access
Solution Approach 2:
The system applies different clustering strategies to different message sets or contexts. High-priority or frequently accessed messages may use simpler, faster clustering criteria, while less critical messages can undergo more comprehensive content analysis, optimizing the balance between organization quality and processing speed
3Measurement precision
If multiple clustering rules are applied to messages, then categorization accuracy improves, but system complexity increases
Solution Approach 1:
The system introduces an intermediary layer of user-defined cluster templates and rules that mediate between raw messages and final cluster assignments. Users can define clustering criteria at this intermediary level, allowing complex multi-criteria categorization without requiring the core system logic to become overly complicated
Solution Approach 2:
The system allows dynamic adjustment of clustering parameters and thresholds based on user preferences and message characteristics. By changing parameters such as similarity thresholds, weightings for different criteria, and cluster creation thresholds, the system can achieve high categorization accuracy while maintaining manageable complexity through parameterized control
Data Source
AI summary
System and methods are provided for receiving selection, by a user, of a subset of message clusters in a plurality of message clusters. Each message cluster is associated with a corresponding set of clustering rules. Each respective electronic message, addressed to and/or from the user, in a plurality of electronic messages is assigned to one or more of the clusters in the subset of clusters in accordance with the sets of clustering rules associated with the subset of clusters. The set of clustering rules for a first cluster in the subset of clusters (i) prevents some messages in the plurality of messages from being assigned to the first cluster and (ii) assigns messages to the first cluster without regard to content relatedness between messages in the plurality of messages and messages already in the first cluster. Messages in the first cluster are formatted for display as a single cluster graphic.