Service Learning in Internet Telephony

Wu, Xiaotao; Schulzrinne, Henning G.

Internet telephony can introduce many novel communication services, however, novelty puts learning burden on users. It will be a great help to users if their desired services can be created automatically. We developed an intelligent communication service creation environment which can handle automatic service creation by learning from users' daily communication behaviors. The service creation environment models communication services as decision trees and uses the Incremental Tree Induction (ITI) algorithm for decision tree learning. We use Language for End System Services (LESS) scripts to represent learned results and implemented a simulation environment to verify the learning algorithm. We also noticed that when users get their desired services, they may not be aware of unexpected behaviors that the serivces could introduce, for example, mistakenly rejecting expected calls. In this paper, we also did a comprehensive analysis on communication service fail-safe handling and propose several approaches to create fail-safe services.



More About This Work

Academic Units
Computer Science
Department of Computer Science, Columbia University
Columbia University Computer Science Technical Reports, CUCS-043-04
Published Here
April 22, 2011