Considerate and Accurate Multi-party Recommender Systems for Constrained Resources
Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Machines
This project will create a next generation recommender system that enables equitable allocation of constrained resources. The project will produce novel hybrid socio-technical methods and resources to create a Considerate and Accurate REcommender System (CARES), evaluated with social science and behavioural economics lenses.
Participate in an online user study on multi-party fair recommendations
We are looking for users of the Spotify music application to complete a brief online study. In the study, you are expected to browse music recommendations and answer a set of questions.
The study is expected to take less than 15 minutes, and you will receive a AU$10 gift card as a thank you.