Location of Repository

Service learning and service risk management in Internet telephony

By Xiaotao Wu and Henning Schulzrinne

Abstract

Abstract — 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. I

Year: 2005
OAI identifier: oai:CiteSeerX.psu:10.1.1.187.9694
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.cs.columbia.edu/%7E... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.