Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance

User feedback is an important aspect of any social platform. The platform needs to adapt based on user preferences, eliminating the need for user input over time. This paper describes the experimentation with feedback received from users on their comfort level with temperatures in their work environment. The building energy management system will adapt itself so that users do not need to adjust the temperatures. This study addresses a number of issues with the user feedback modeling including managing a data imbalance with the help of fuzzy clustering, ability to transfer the user models between rooms and across different buildings, as well as, predicting a degree of discomfort. The experiments are based on user feedback collected from two commercial buildings.