An Intelligent Recommendation System Model based on Style for Virtual Home Furnishing in Three-dimensional Scene

This paper discusses an intelligent recommendation system model based on style for virtual home furnishing in three-dimensional scene to improve the business intelligence, let users get the embodied experience of the virtual home furnishing experience which was equivalent in realistic scene when they buy furniture online, thus helping users find the furniture merchandise based on personalized style demand. This system is consisted of four modules: User information mining and information gathering module; furniture merchandise information processing module; recommendation results computing module; recommendation results displaying module. First of all, this system is to build the database of furniture merchandise based on style classification. Through users' browsing behaviors on the network, such as utilizing the eye tracker devices to capture user physiological perception on products, and combing with web data mining techniques, this system is to calculate furniture information which users interested in. Secondly, while this system recommends furniture products to its target users, it could present a unified style virtual home furnishing scenes. Users could have the embodied experience about the overall effect of furniture merchandise displaying in the virtual environment with unified style furniture. Thirdly, the embodied experience promotes network marketing of furniture merchandise.