Efficient Recommendation System for High-Dimensional Data

User Study Information

You are invited to participate in a research study to evaluate the effectiveness of interactive recommendation algorithms, for more robust high-dimensional preference learning systems.

What you will do:

  • Experience two interactive algorithms which find your preferred options within a car database
  • Rate the performance of the algorithms/mechanisms
  • The process typically takes around 4 minutes

Privacy & Data Protection

Your participation in this study is completely voluntary. You may withdraw at any time without penalty.

Your responses will be stored automatically on our servers for research purpose.

We only collect anonymous usage statistics and feedback, without any personal information.

This study is conducted for research purposes. By clicking "Agree and Start", you acknowledge that you have read and understood the information above.