Service learning and service risk management in Internet telephony

Internet telephony can introduce many novel communication services, however, this novelty puts learning burden on users. We have developed an intelligent service creation environment which can automatically create services by learning from communication behavior. The service creation environment models communication services as decision trees and uses the incremental tree induction (ITI) algorithm for learning. We use our language for end system services (LESS) to describe learned results and have implemented a simulation environment to verify the learning algorithm. We noticed that automatically generated services may introduce undesirable side-effects that can cause users to lose calls, money, or privacy. Thus, we did an analysis on service risk management for LESS-based services and proposed several approaches for fail-safe services.