Intelligent Real-time 3D Configuration Platform for Customizing E-commerce Products

Abstract

In this paper is designed and realized a 3D web configurator platform able to optimize the creation of 3D objects for sale on multi e-commerce platform. The user can select online the preferred object by learning the configurator to optimize the 3D object features. A Support Vector Machine -SVMalgorithm adopting XGBoost approach, improved affect computing, user navigation experience and Visual Merchandising – VMapproach, all elements which support the creation of new object having the best effective features. The intelligent self-learning platform is designed for the real time construction of 3D CAD objects and integrates different user facilities such as augmented reality, web plugin, and WebGL graphical libraries. The proposed work follows the research and development -R&Dguidelines of ‘Frascati’ manual concerning new search engine as research topic and summarize the result of an industry research project.