How Compass Understands Your Interests

Every piece of content is analyzed across 6 dimensions
Topic, Skill, Concept, Industry, Tool, and Goal.
Each tag is weighted by relevance, creating a multi-dimensional fingerprint of your learning preferences.

📚 Topic 3 tracked

What you're learning about

Machine Learning
0.95
Data Science
0.85
Neural Networks
0.75
🎯 Skill 3 tracked

Practical abilities you're building

Data Analysis
0.90
Model Training
0.80
Visualization
0.70
💡 Concept 3 tracked

Core ideas and principles you understand

Supervised Learning
0.88
Feature Engineering
0.82
Optimization
0.65
🏭 Industry 3 tracked

Sectors where you apply knowledge

FinTech
0.78
Healthcare
0.60
eCommerce
0.55
🔧 Tool 3 tracked

Technologies and platforms you use

Python
0.92
TensorFlow
0.85
Pandas
0.88
🎓 Goal 3 tracked

What you're aiming to achieve

Career Advancement
0.87
Build Portfolio Projects
0.81
Master Fundamentals
0.73

How Your Match Score is Calculated

Every recommendation uses a weighted formula combining your tag affinities with difficulty alignment

🎯

Content Affinity

6 dimensional semantic match to your profile

Topic: 0.95
Skill: 0.88
Tool: 0.92
Goal: 0.87
Base Score: 91/100
📊

Experience Fit

Content difficulty matches your level

Your Level: Intermediate
Content Level: Intermediate
Bloom's Stage: Apply
Fit Bonus: +5
🔥

Interest Boost

Recent activity and goal alignment amplify relevance

Recent Views: ML Content
Active Goals: Career Path
Engagement: High
Momentum: +2

Final Match Score

91 + 5 + 2
Match Score: 98%
🎯
Learning Outcomes

Matched to Bloom's Taxonomy levels

🧩
Real Problems

Tagged by practical challenges you can solve

🎓
Your Goals

Aligned with career and learning objectives