Outgoing Communication Template Generation via Segment Analysis
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Solution Overview
Problem
Existing communication systems lack efficiency in automating the drafting of repetitive content in outgoing communications, such as emails, as they fail to effectively identify and utilize patterns in previous messages to populate subsequent messages.
Innovation Solution
A method that groups outgoing communications by contextual, syntactic, and semantic attributes to generate templates, which can then be used to automatically populate subsequent communications by identifying fixed and transient segments and applying the most relevant template based on user context and similarity analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual drafting of outgoing communications is used, then user control and customization are maintained, but time and effort required for drafting repetitive content increases
Solution Approach 1:
The system performs preliminary analysis of the user's communication history to pre-identify fixed and transient segments before the user needs to draft a new communication. Templates are generated in advance based on historical patterns, so when the user initiates drafting, the appropriate template is already ready for immediate application, eliminating the need to manually recreate repetitive content
Solution Approach 2:
The system creates abstract templates that copy the structural pattern from historical communications without copying the actual confidential content. These templates capture the fixed segments and placeholder structures of previous messages, allowing the user to quickly instantiate new communications by filling in only the transient variable segments rather than drafting from scratch
2Extent of automation
If templates are generated from historical communications, then automatic population of repetitive content is enabled, but system complexity increases
Solution Approach 1:
The system segments historical communications into fixed segments (repetitive content) and transient segments (variable content). This segmentation allows the template generation process to focus only on extracting and storing the structural pattern of fixed segments, while treating transient segments as simple placeholders. When applying templates, the system only needs to match the current communication's fixed segments against stored templates and fill in the transient placeholders, significantly reducing the complexity of the matching process
Solution Approach 2:
The system extracts only the essential structural elements (fixed segments and their positions) from historical communications to create templates, leaving out the confidential transient content. This extraction process simplifies the template representation to a lightweight structure that contains only the necessary information for automatic population, reducing memory requirements and processing complexity while maintaining the automation capability
3Ease of manufacture
If all segments of communications are treated as fixed, then template matching becomes simpler, but flexibility to handle variable content is reduced
Solution Approach 1:
The system divides each communication into fixed segments (content that repeats across similar communications) and transient segments (content that varies). By segmenting the communications this way, the system maintains simple template structures based on fixed segments while using placeholder mechanisms for transient segments, achieving both simplicity in template creation and flexibility in handling variable content
Solution Approach 2:
The system applies different treatment to different segments of communications: fixed segments are used for template matching and structure definition, while transient segments are handled as flexible placeholders that adapt to specific instances. This local differentiation allows the system to maintain simple, reusable templates while accommodating the variability needed in actual communication content
Data Source
AI summary
Methods, apparatus, systems, and computer-readable media are provided for generating and applying outgoing communication templates. In various implementations a corpus of outgoing communications sent by a user may be grouped into a plurality of clusters based on one or more attributes of a context of the user. One or more segments of each outgoing communication of a particular cluster may be classified as fixed in response to a determination that a count of occurrences of the one or more segments across the particular cluster satisfies a criterion. One or more remaining segments of each communication of the particular cluster may or may not be classified as transient. Based on sequences of classified segments associated with each communication of the particular cluster, an outgoing communication template may be generated to automatically populate at least a portion of a draft outgoing communication being prepared by the user.