Tag-Based Communication File Distribution System

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Solution Overview

Problem

Users face challenges in efficiently sorting and managing communication files, such as emails and web pages, due to the vast amount of irrelevant content available, leading to wasted time in reading uninteresting material.

Innovation Solution

A computer-implemented method and data processing system that associates tags with users by identifying contact information in communication files, allowing negotiation among users to form agreed or disputed tag sets, which determine the distribution of communication files based on user interests.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If communication files are distributed broadly to maximize reach, then distribution coverage is improved, but users receive irrelevant content increasing time waste

Engineering Contradiction:
Improvedistribution coverageVSAvoidtime waste
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent segments the broad audience into smaller groups based on tags extracted from communication files and user profiles. Each user receives only content tagged with their interests, dividing the universal distribution channel into personalized segments that reduce irrelevant content exposure while maintaining broad overall reach.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of content distribution from uniform broadcasting to personalized delivery based on tag matching. By transforming content into tagged units and user preferences into tag profiles, the system dynamically adjusts distribution parameters to deliver only relevant content to each user.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If manual sorting of communication files is implemented to reduce irrelevant content, then user efficiency is improved, but system complexity increases

Engineering Contradiction:
Improveuser efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs automatic tag extraction and content categorization without requiring manual user intervention. The computer autonomously analyzes communication files, extracts tags, matches them with user profiles, and distributes content accordingly, eliminating the need for manual sorting while maintaining high user efficiency.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical sorting operations with automated computational processes. Instead of users manually categorizing content, the system uses tag extraction algorithms and automated matching mechanisms to perform the sorting function, significantly reducing system complexity while improving productivity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If tags are automatically assigned to communication files to improve sorting, then content relevance is improved, but negotiation complexity among users increases

Engineering Contradiction:
Improvecontent relevanceVSAvoidnegotiation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces tags as intermediary elements that mediate between communication files and users. Instead of direct user-to-user negotiation about content relevance, the system uses tags as intermediate representations that automatically match files to users based on their profiles, dramatically simplifying the interaction while maintaining high content relevance.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8589497B2Applying tags from communication files to users
Publication Date: 2013.11.19 KYNDRYL INC
  • US8589497B2 patent drawing
  • US8589497B2 patent drawing
  • US8589497B2 patent drawing

AI summary

A method, data processing system, and computer program product for associating tags with a person or user. A computer receives a communication file. The computer determines a tag for the communication file to form a communication file association of the tag with the communication file. The computer identifies contact information for a user from the communication file. The computer forms a user association between the user and the tag.