System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.