01884nas a2200229   4500000000100000000000100001008004100002260001200043653001800055653001900073653002000092100002000112700001900132700002600151700001400177245009100191856009800282300000900380490000600389520124500395022001401640       2015                            d  c06/201510aCollaboration10aVirtual Worlds10a3D Technologies1 aDavid Contreras1 aMaría Salamó1 aInmaculada Rodríguez1 aAnna Puig00aA 3D Visual Interface for Critiquing-based Recommenders: Architecture and  Interaction  uhttp://www.ijimai.org/JOURNAL/sites/default/files/files/2015/05/ijimai20153_3_1_pdf_15723.pdf  a7-150 v33 aNowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable instruments to enhance the buying process in the 2D Web. Indeed, 3D virtual environments are an alternative interface for recommenders. They provide the user with an immersive 3D social experience, enabling a richer visualisation and increasing the interaction possibilities with other users and with the recommender. In this paper, we focus on a novel framework to tightly integrate interactive recommendation systems in a 3D virtual environment. Specifically, we propose to integrate a Collaborative Conversational Recommender (CCR) in a 3D social virtual world. Our CCR Framework defines three layers: the user interaction layer (3D Collaborative Space Client), the communication layer (3D Collaborative Space Server), and the recommendation layer (Collaborative Conversational Recommender). Additionally, we evaluate the framework based on several usability criteria such as learnability, perceived efficiency and effectiveness. Results demonstrate that users positively valued the experience  a1989-1660