Development of design recommender system using collaborative filtering

It is an important strategy to investigate customer's sensibility and preference in the merchandise environment changing to the user oriented. We propose the design recommender system, which exposes its collection in a personalized way by the use of collaborative filtering and representative sensibility adjective on textile design. We developed the multi-users interface tool that can suggest designs according to the user's needs in the design industry. In this paper, we adapt collaborative filtering to recommend design to a user who has a similar propensity about designs. And we validate our design recommender system according to three algorithms in off-line experiments. Design merchandizing may meet the consumer's needs more exactly and easily with this system.