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.
| Original language | English |
|---|---|
| Article number | 28 |
| Pages (from-to) | 494-511 |
| Journal | Communications of the Association for Information Systems |
| Volume | 15 |
| Online published | Apr 2005 |
| DOIs | |
| Publication status | Published - 2005 |
Research Keywords
- Bayesian network
- personalization
- mobile commerce
- mobile users
- rough set
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