AI Theme-Based Content Addition to Messages

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Solution Overview

Problem

Users face challenges in finding appropriate multimedia content for message compositions due to difficulties in summarizing themes, intellectual property concerns, and the limitations of stock image libraries, especially when mass distributing messages to segmented recipient groups.

Innovation Solution

The system employs artificial intelligence and machine learning to determine thematic elements of message compositions and generate relevant multimedia content, using graphical user interfaces and application programming interfaces to assist users in selecting theme identifiers and content items, and automatically placing them in message compositions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users manually search and select multimedia content from stock libraries, then content selection is possible, but time and effort consumption increases significantly

Engineering Contradiction:

Improveease of content selectionVSAvoidtime to find and gather content

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs content selection automatically without requiring user intervention in the search and selection process. The AI model analyzes the message composition and autonomously selects appropriate multimedia content from the library, making the system self-serve the content selection task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of searching, filtering, and selecting content from stock libraries is replaced by an AI-based automated system that uses machine learning models to directly generate and select appropriate multimedia content based on the message composition analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If stock image libraries are used for content selection, then pre-approved content is available, but adaptability to specific message themes is limited

Engineering Contradiction:

Improveintellectual property safetyVSAvoidadaptability to message theme

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system changes the parameters of content selection by moving from static pre-categorized stock library searches to dynamic AI-generated content selection. The AI model adjusts content parameters (type, style, relevance) based on the specific message theme and composition, while maintaining IP safety through controlled generation and selection processes.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The AI model acts as an intermediary between the message composition and the content library. It analyzes the message themes and compositions, then selects or generates appropriate content that bridges the gap between fixed library contents and specific message requirements, improving adaptability while maintaining reliability.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If AI automatically generates multimedia content, then content relevance to message theme improves, but system complexity increases

Engineering Contradiction:

Improvecontent relevance to themeVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The complex AI content generation system is segmented into distinct functional modules: message composition analysis, theme identification, content selection/generation, and multimedia assembly. Each module performs a specific task, making the overall complex system manageable through functional decomposition and independent optimization of each segment.

Inventive Principle:

Principle #1Segmentation

4Ease of operation

If users manually customize content for each recipient segment, then personalization quality improves, but productivity decreases

Engineering Contradiction:

Improvecontent customization qualityVSAvoidmessage distribution efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The AI system performs multiple functions simultaneously: it analyzes message compositions, identifies themes, segments recipients based on relevance to themes, selects appropriate content for each segment, and assembles personalized messages. This multi-functional approach maintains high customization quality while dramatically improving productivity compared to manual processes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240220717A1Adding theme-based content to messages using artificial intelligence

Publication Date: 2024.07.04 TWILIO INC

AI summary

A message composition of a user is received by a communication platform. A theme identifier associated with a theme of the message composition is determined by the communication platform using a first machine learning model. A generated content item corresponding to the theme identifier is obtained by the communication platform using a second machine learning model. The generated content item is added to the message composition by the communication platform to produce a customized message to be transmitted to a plurality of recipient devices each associated with one of a plurality of recipients.