Communication Loss Correlation for Intent-Based Message Generation

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Solution Overview

Problem

Existing automated communication systems fail to effectively re-engage users after communication loss, requiring manual intervention and subjective decision-making by enterprise personnel.

Innovation Solution

An analytics application that detects communication loss, parses content, computes communication-based and action-based intent attributes, correlates these attributes to determine common intent, and automatically generates messages to re-engage users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual intervention is used to re-engage users after communication loss, then personalized communication can be achieved, but labor time and subjective decision-making increase significantly

Engineering Contradiction:

Improvemanual communication re-engagementVSAvoidlabor time for message composition

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables automated self-service for communication re-engagement by detecting communication losses, analyzing conversation history, computing intent attributes, and generating follow-up messages automatically without requiring manual human intervention. This resolves the contradiction by eliminating labor time while maintaining personalized communication through algorithmic analysis of user intent.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical process of manual message composition and analysis with an automated computational system that uses natural language processing, intent attribute computation, and correlation analysis. This substitution eliminates the time-consuming manual operations while preserving the ability to deliver personalized follow-up messages based on analyzed user intent.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If communication loss is detected and analyzed, then targeted re-engagement messages can be generated, but system complexity increases

Engineering Contradiction:

Improveuser intent analysis accuracyVSAvoidanalytics application structure

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The analytics application is segmented into distinct functional modules: communication loss detection, conversation parsing, communication-based intent attribute computation, action-based intent attribute computation, correlation analysis, and message generation. This modular segmentation manages system complexity by organizing complex functions into manageable, independent components while maintaining high measurement precision for user intent analysis.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intent attributes as intermediary computational representations that bridge raw communication data and final message generation. These intent attributes serve as intermediate variables that simplify the correlation process between communication content and user actions, reducing overall system complexity while preserving analytical precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated message generation is implemented, then productivity increases, but message personalization may be reduced

Engineering Contradiction:

Improvemessage generation speedVSAvoidmessage customization capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system uses feedback from communication history and user actions to dynamically generate personalized messages. By computing intent attributes from both communication content and subsequent user actions, the system adapts message generation to individual user preferences and behaviors, maintaining high customization capability while achieving automated productivity.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes parameters by computing multiple intent attributes (communication-based and action-based) that capture different dimensions of user preference. These parameter changes enable the system to generate highly personalized messages automatically by adjusting message content based on correlated intent attributes derived from user behavior patterns.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12457519B2Message generation based on communication loss correlation

Publication Date: 2025.10.28 ADOBE INC

AI summary

Certain aspects and features of the present disclosure relate to providing message generation based on communication loss correlation. For example, a method involves detecting a loss of a communication with a communication recipient and parsing content of the communication. The method further involves computing communication-based values for recipient intent attributes corresponding to the communication and action-based values for the recipient intent attributes corresponding to the communication. The method additionally involves correlating the communication-based values and the action-based values for the recipient intent attributes to determine common intent attributes corresponding to the communication recipient. The method also involves generating at least one message configured for the communication recipient based on the common intent attributes. The method can also involve transmitting the at least one message to a target device. Other embodiments include computer systems, apparatus, and computer programs configured to perform the above method or a similar method.