It is difficult for users to look for garments they want to purchase on e-shopping sites because so many garments are sold there. We propose a system which inclines users to purchase garments recommended on the e-shopping sites, assisting the user to change her image within her fashion policy. This paper provides a recommendation system tailored to each user. It has paid attention to garments the user already has and outfits the user owns. The proposed method aims to recommend a garment which satisfies the following two requirements. The first requirement is to accord to user policies. The second is to change the image of the user. From an experiment, it is proved that 90% of recommended outfits matching the above requirements motivates examinees to purchase them. In addition, the method has recommended outfits that satisfy both of the two requirements with 35% of the precision.

Full text: IJEIR-1364_final.pdf