Grey Relational Analysis and Augmented Reality to Construct a Recommendation System on Cultural Creative Products

Abstract

This paper tries to select attributes of creative products which take Augmented Reality (AR) technology as user interaction with the media in order to obtain valuable information of the user experience, then, those data sets are summarized and analyzed to build a recommendation system on cultural creative products. Firstly, the external form of cultural creative products can be divided into shape, material, color and texture, user according to their own preference to select the most suitable goods of their own cognitive. Then, Augmented Reality (AR) technology and image recognition with 3D model allows users to select their favorite style of the product through an interactive manner and ranking of a series of prototype design is obtained according to the Grey Relational Analysis. Finally, a product recommendation system let the user choose to verify the research results for the culture creative products.