Interactive Learning for Hierarchy of Concepts

Goal

We aimed to build a visualization system for a crowdsourcing algorithm which learns hierarchies of concepts. Our focuses were on how to visualize the uncertainty in the distribution over hierarchies, and teach users how the algorithm learns from answering questions.

Team Members

1. Adwin Jahn (adwin5)
2. Ryan Mass (ryanmaas)
3. Harley Montgomery (wmontgomery4)

Running Instructions

Run python -m SimpleHTTPServer 8000

Go to http://localhost:8000 on your machine

Project Links

Poster, Final Paper Code

Breakdown

• All : overall architecture design, project goal setup, searching well-suited visualization method
• Adwin : nodeJS Backend setup, socketIO setup, frontend initial bootstrap setup
• Ryan : Literature review, debugging, layout design
• Harley : Frontend design, hidden edge visualization, node animation transition, color encoding