A Bayesian network-based framework for personalization in mobile commerce applications

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Original languageEnglish
Article number28
Pages (from-to)494-511
Journal / PublicationCommunications of the Association for Information Systems
Volume15
Online publishedApr 2005
Publication statusPublished - 2005

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Publisher's Copyright Statement
  • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: Limited copyright by the Association for Information Systems. Use for commercial purposes is not allowed. Liao, S., Li, Q., & Xu, D. (2005). A Bayesian Network-Based Framework for Personalization in Mobile Commerce Applications. Communications of the Association for Information Systems, 15, 494-511. https://doi.org/10.17705/1CAIS.01528
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(451858b5-39ff-453a-9396-f07c38c3d1d3).html

Abstract

Providing personalized services for mobile commerce (m-commerce) can improve user satisfaction and merchant profits, which are important to the success of m-commerce. This paper proposes a Bayesian network (BN)-based framework for personalization in m-commerce applications. The framework helps to identify the target mobile users and to deliver relevant information to them at the right time and in the right way. Under the framework, a personalization model is generated using a new method and the model is implemented in an m-commerce application for the food industry. The new method is based on function dependencies of a relational database and rough set operations. The framework can be applied to other industries such as movies, CDs, books, hotel booking, flight booking, and all manner of shopping settings.

Research Area(s)

  • Bayesian network, personalization, mobile commerce, mobile users, rough set

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Publication fingerprints text

100
Commerce Applicatio... Computer Science
100
mobile commerce Computer Science
100
Bayesian Networks Computer Science
100
Hotels Engineering
100
Mobile User Engineering
100
Set Operation Engineering
20
Relational Database Computer Science
20
User Satisfaction Computer Science
20
Rough Set Computer Science
20
personalized servic... Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
A Bayesian network-based framework for personalization in mobile commerce applications. / Liao, Shaoyi Stephen; Li, Qiudan; Xu, Jingjun David.
In: Communications of the Association for Information Systems, Vol. 15, 28, 2005, p. 494-511.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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