Automated Metadata Generation for Social Media Product Campaigns

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Solution Overview

Problem

Organizations face difficulties in automatically generating metadata for new and updated products, maintaining consistency across different social media platforms, and identifying influencers to maximize visibility, often requiring manual effort and struggling to keep pace with trending topics.

Innovation Solution

A system and method for generating short message metadata that automatically creates customized metadata based on product keywords, captures trending tags, identifies influencers, and broadcasts product information using company-specific identifiers, thereby reducing overhead and maintaining brand consistency across multiple social media platforms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual metadata generation is used for social media products, then customization and accuracy can be maintained, but time consumption and labor overhead increase significantly

Engineering Contradiction:

Improvemetadata accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automated self-service metadata generation by extracting product information from feeds, generating relevant hashtags and tags automatically, and posting content without manual intervention. This resolves the contradiction by making the system serve itself, eliminating time-consuming manual work while maintaining accuracy through structured extraction processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-generating metadata, hashtags, and social media content before posting. Product information is extracted and processed in advance, with hashtags and tags prepared beforehand, reducing the need for manual intervention and significantly cutting down time consumption while maintaining quality.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If automated metadata generation is implemented, then time efficiency and productivity improve, but consistency and customization across platforms may deteriorate

Engineering Contradiction:

Improvemetadata generation speedVSAvoidbrand consistency

Core Design Contradiction:

ProductivityVSStability of the object's composition

Solution Approach 1:

The system achieves universality by implementing a unified automated workflow that operates across multiple social media platforms simultaneously. The same product information extraction and metadata generation process serves multiple platforms, ensuring consistent brand messaging while adapting to platform-specific requirements through configurable parameters.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system maintains brand consistency by controlling key parameters such as hashtag formats, tag structures, and content templates across all platforms. While automated generation speeds up productivity, the system adjusts parameters like platform-specific character limits and formatting rules to ensure consistent brand identity throughout.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If comprehensive product information is monitored and processed, then metadata quality and relevance improve, but system complexity and computational resources increase

Engineering Contradiction:

Improvemetadata qualityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system applies segmentation by dividing the metadata generation process into distinct modules: product information extraction, hashtag generation, tag creation, and platform-specific posting. Each module handles a specific aspect of the workflow, improving metadata quality through specialized processing while managing system complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses an intermediary approach by introducing a centralized feed processor that mediates between product information sources and various social media platforms. This intermediary component standardizes data extraction and transformation, ensuring high metadata quality while simplifying the overall system architecture through a single point of control.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Ease of operation

If trending topics and influencers are integrated into the workflow, then content visibility and engagement improve, but data processing requirements and operational complexity increase

Engineering Contradiction:

Improvecontent visibilityVSAvoiddata processing volume

Core Design Contradiction:

Ease of operationVSQuantity of substance

Solution Approach 1:

The system implements partial action by selectively integrating trending topics and influencer information only when relevant to product metadata generation. Rather than processing all available social media data, the system focuses on specific trending elements that enhance content visibility, reducing data processing volume while maintaining improved engagement and ease of operation.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS10439976B2Workflow to generate metadata for new and updated products and augment short message system content

Publication Date: 2019.10.08 DELL PROD LP

AI summary

A system, method, and computer-readable medium are disclosed for providing a short message metadata generation tool which performs a short message metadata generation operation which automatically generates metadata for new and/or updated products as well as augmenting short message content. The short message metadata generation operation provides users with customized metadata for various products and/or lines of business and guide official company identifiers with reliable data that can be promoted among customers with ease.