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Rico: A mobile app dataset for building data-driven design applications
Biplab Deka
, Zifeng Huang
, Chad Franzen
, Joshua Hibschman
, Daniel Afergan
, Yang Li
, Jeffrey Nichols
,
Ranjitha Kumar
Grainger College of Engineering
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Siebel School of Computing and Data Science
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Keyphrases
Design Application
100%
Design Information
100%
Mobile Application
100%
Android Application
100%
Building Data
100%
UI Layout
100%
Data-driven Design
100%
App Data
100%
App Designer
50%
Structural Design
50%
User Perception
50%
Design Performance
50%
Data-driven Modeling
50%
Data-driven Applications
50%
Design Support
50%
Code Generation
50%
Application Design
50%
Crowdsourcing
50%
Visual Design
50%
Interaction Data
50%
Design Search
50%
Instance Search
50%
Interactive Design
50%
Autoencoder
50%
Mine Design
50%
Mobile App Design
50%
Modeling Perceptions
50%
Layout Similarity
50%
User Interaction Modeling
50%
Design Properties
50%
Video Interactive
50%
Visual-textual
50%
Layout Generation
50%
Computer Science
Application Design
100%
Mobile App
100%
Best Practice
33%
User Interaction
33%
Code Generation
33%
Interactive Design
33%
Autoencoder
33%