A Decision Tree Approach to Voice-enable Mobile Commerce Applications

Yandong Fan, Elizabeth A. Kendall

2005

Abstract

Speech interfaces have become increasingly popular to support mobile commerce. Although spoken dialogue systems have been studied for decades, they pertain to specific domains. There is a lack of research on general approaches for voice enabling. In this paper, we propose a decision tree approach to personalize and voice-enable applications in the context of mobile commerce. The system dynamically analyses user preferences by mining the navigation and transaction logs. The user profile then is used to personalize a tree-based product catalogue. We utilize the Predictive Model Markup Language to store the resultant catalogue. This XML document is used to construct conversational dialogues for users to find the product information. The proposed architecture has been verified and evaluated though implementing a mobile car city application.

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Paper Citation


in Harvard Style

Fan Y. and A. Kendall E. (2005). A Decision Tree Approach to Voice-enable Mobile Commerce Applications . In Proceedings of the 4th International Workshop on Wireless Information Systems - Volume 1: WIS, (ICEIS 2005) ISBN 972-8865-21-X, pages 13-22. DOI: 10.5220/0002557300130022


in Bibtex Style

@conference{wis05,
author={Yandong Fan and Elizabeth A. Kendall},
title={A Decision Tree Approach to Voice-enable Mobile Commerce Applications},
booktitle={Proceedings of the 4th International Workshop on Wireless Information Systems - Volume 1: WIS, (ICEIS 2005)},
year={2005},
pages={13-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002557300130022},
isbn={972-8865-21-X},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Wireless Information Systems - Volume 1: WIS, (ICEIS 2005)
TI - A Decision Tree Approach to Voice-enable Mobile Commerce Applications
SN - 972-8865-21-X
AU - Fan Y.
AU - A. Kendall E.
PY - 2005
SP - 13
EP - 22
DO - 10.5220/0002557300130022