Researching and Implementing of Intelligent Professional Search for Virtual Enterprise

The search engine cannot only finish the information navigation but also help user to build the virtual enterprise. This paper raises an individual intelligent searching system based on the virtual enterprise integration. The reinforcement learning technology is used to optimize the searching method, moreover To help to select the member of the virtual enterprise by π calculus and professional reward, which support an efficient auxiliary method for building the virtual enterprise. To improve the effect of searching, this paper designs a client module according to a request of enterprise. The Bayesian and user agents raise the ability adapting to the system individual need.