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- Title
A BAYESIAN NETWORK-BASED FRAMEWORK FOR PERSONALIZATION IN MOBILE COMMERCE APPLICATIONS.
- Authors
Shaoyi Liao, Stephen; Qiudan Li; Jingjun Xu, David
- 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.
- Subjects
MOBILE commerce; ELECTRONIC commerce; BAYESIAN analysis; FOOD industry; RELATIONAL databases
- Publication
Communications of the Association for Information Systems, 2005, Vol 15, p494
- ISSN
1529-3181
- Publication type
Article
- DOI
10.17705/1CAIS.01528