This document discusses the Tube Star project, which aimed to crowdsource experiences on public transport. It provides background on mining public transportation data and preferences to build personalized transportation systems. The project team designed a mobile application to collect ratings and thematic feedback from users on their London Underground experiences. While 215 ratings were collected from 44 users, limitations included issues with deploying the design and evaluating participation levels and success of different approaches. Questions remained around how specific the approach was to certain cities and how else participation could be encouraged.