A knowledge-based adaptive message filtering technique for collaborative virtual environment

In a collaborative virtual environment, users can freely join and share a virtual environment and do some collaborative work, which is highly synchronous. To achieve this work, we usually need two or more people´s collaboration. The user action recurrence precision must accord with the request of the collaborative work, so that the user can effectively do the collaborative work. But if we adopt static high action recurrence precision, the system´s scalability greatly decreases. This paper analyses the collaborative virtual environment system´s scalability request and collaborative request, and gives a knowledge-based adaptive message filtering technique, which solves the scalability problem in the collaborative virtual environment system.