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Article Recommendation Simulator

Interactive demonstration of our intelligent article recommendation system using the MST Framework (Mindset-Skill-Toolset) to understand your interests and suggest relevant articles based on relationship graphs between different competencies.

How does it work?

  1. Read Articles: Click on articles in the "Recommended Articles" column (left) to mark them as read and move them to your reading history.
  2. Build Your Profile: As you read articles, the system analyzes their MST tags (Mindsets, Skills, Tools) to build your interest profile.
  3. Smart Scoring: The system calculates relevance scores for unread articles based on:
    • Direct matches with your profile
    • Reinforcing relationships (mindsets that strengthen each other)
    • Enabling relationships (mindsets that enable skills)
    • Application relationships (skills that apply through tools)
  4. Visual Insights: Explore different diagrams to see how MST elements relate to each other and your interests.

How will it look when integrated?

When integrated into the actual website, users will experience:

Try it now!

Start by clicking 2-3 articles that interest you from the left "Recommended Articles" column. Watch how your interest profile builds up and how the recommendation scores change for remaining articles. Explore the different diagram views to understand the MST relationships that power the recommendations.

Legend

● Mindset (M-codes) ● Skill (S-codes) ● Tool (T-codes) (0.00) = Relevance score

Recommended Articles

Read Articles

Your Interest Profile

MST Relationship Diagram