Scalable collaborative virtual environment considering user´s interest information

Recently researches concerned with various applications based on collaborative virtual environment (CVE), such as virtual society, virtual shopping mall, virtual museum etc., methods to realize cooperative works by users in 3D virtual space and scalability issues of the VR space to support a number of users have been investigated. However, as the number of the users increases in CVE, usability of cooperative works by users decreases and scalable CVE cannot realized by using conventional client/server model. Also, in those researches, user interests the 3D objects in CVE are not considered. In order to overcome the difficulties, we introduce a new method which uses P2P network to realize scalable CVE and recommendation system which uses user interests to present and offer the proper objects in CVE. Using our suggest method, the objects can be distributed on the P2P networks and their computing loads can be reduced, eventually the scalability of the CVE can be improved. Furthermore, by reflecting user interest information to the application system, user can access and communication to 3D objects and contents which are more interested than the others with higher priority. Thus total usability of the system can be improved. In this paper, we provide a new system and its architecture, P2P network to realize overlay network and methodology to realize user recommendation system to reflect user interest.