Recommender Systems are traditionally been used in online environments. The present study focuses on factors affecting consumers’ acceptance in recommendation systems that will be used in traditional stores. For this purpose, we have developed a garment recommendation system applying and evaluating the aforementioned factors through an experiment. The main insights of the study indicate that consumers’ personality affect consumers’ preferences and garments’ style.

Additionally, when a consumer has high motivation to purchase a particular garment (s)he does not waste his/her time for looking around other types of garments. This means that if a garment provider wants to increase cross selling then he has to recommend products that are close to that event such as accessories.