Automated Topic Ranking for Forum Content Threads

Resolve Bottlenecks,
Find Innovative Solutions
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Solution Overview

Problem

Users face challenges in identifying relevant subject matter experts and information in large online forums, as existing search engines and chat rooms require manual browsing and lack efficient methods to filter and share relevant content.

Innovation Solution

A method and apparatus that utilize natural language processing to identify content threads, rank topics, and notify users of subject matter experts in forums, while also creating share links to access relevant information across multiple forums with similar content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual browsing of search results and chat rooms is used to identify relevant content, then users can access information in existing forums, but the process is burdensome and time-consuming

Engineering Contradiction:
Improverelevance of informationVSAvoidtime to identify relevant content
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system automatically indexes messages, identifies topics, ranks them by weight, and detects topic experts without human intervention. The automated bot performs the entire workflow of browsing, analyzing, and presenting relevant information, eliminating the need for manual user effort while maintaining high relevance through algorithmic topic weighting and expert identification.

Inventive Principle:
Principle #25Self-service

2Productivity

If experts manually monitor chat rooms to provide answers, then relevant expertise can be shared, but the process is inefficient and scales poorly

Engineering Contradiction:
Improvespeed of providing expert answersVSAvoidcomplexity of expert identification system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical manual monitoring process with an automated bot that uses natural language processing and algorithmic analysis. The bot automatically indexes messages, identifies topics through NLP, ranks them by weight, and detects topic experts based on message content and user profiles, eliminating manual effort while improving speed and scalability.

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

3Adaptability or versatility

If users search through multiple forums manually, then comprehensive information can be found, but the search process becomes increasingly complex

Engineering Contradiction:
Improvecoverage across multiple forumsVSAvoidcomplexity of cross-forum search
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The automated bot is designed to operate across multiple content sharing forums simultaneously, performing the same indexing, topic identification, and expert detection functions in each forum. This universal approach allows comprehensive information gathering across diverse platforms without increasing user-facing complexity, as the bot handles all cross-forum operations automatically.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11368414B1Automated relevant subject matter detection
Publication Date: 2022.06.21 WEST TECH GRP LLC
  • US11368414B1 patent drawing
  • US11368414B1 patent drawing
  • US11368414B1 patent drawing

AI summary

One example method of operation may include identifying a content thread in a content sharing forum, ranking topics of the content thread to identify highest weighted topics based on content of messages included in the topics, creating a share link to access the highest weighted topics, and posting the share link in one or more other content threads of one or more other content sharing forums, and the one or more other content threads include topics with similar content to content of the highest weighted topics of the content thread.