Ergonomics Automotive Design Recommendation Using Image Based Collaborative Filtering

An analysis of customers' sensibility and preferences is an important business strategy in a motor industry that is increa-singly becoming more customer oriented. This paper proposes ergonomics automotive design recommendation using the image based collaborative filtering. The proposed method applies a method that supports car design using the image based collaborative filtering utilizing sensibility as a starting point in the development process. Although a collaborative filtering process can well predict the users' interests and preferences, it cannot efficiently analyze de-sign information while considering the con-tents of specific items. The process extracts features from the image data that the users are interested in to mitigate a problem, which is regarded as an undulated analysis, and then recom-mends an automotive design by combining the image filtering and collaborative filtering that use the static relationship between the users' preference and the image color information. The pro-posed system provides a recommendation by the image based collaborative filtering. Ultimately, this paper suggests empirical applications to verify the adequacy and validity of this system.