Mobile agents and the future of the internet
ACM SIGOPS Operating Systems Review
M-Commerce: Technologies,Services,and Business Models
M-Commerce: Technologies,Services,and Business Models
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Understanding and Using Context
Personal and Ubiquitous Computing
Agent-Based System for Mobile Commerce
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Mobile Agents in a Multi-Agent E-Commerce System
SYNASC '05 Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
The Role of Ontologies in Context-Aware Recommender Systems
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
A review for mobile commerce research and applications
Decision Support Systems
A novel collaborative filtering-based framework for personalized services in m-commerce
Proceedings of the 16th international conference on World Wide Web
Evolution and emerging issues in mobile wireless networks
Communications of the ACM - Smart business networks
Deploying Mobile And Intelligent Agents In Interconnected E-Marketplaces
Journal of Integrated Design & Process Science
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Mobile commerce: its market analyses
International Journal of Mobile Communications
Improving personalized services in mobile commerce by a novel multicriteria rating approach
Proceedings of the 17th international conference on World Wide Web
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M-commerce is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. However, the development of M-commerce applications is facing with some physical constraints of mobile devices and barriers of existing execution models. Moreover, the nomadic users might consume enormous time to search for satisfactory products or services from abundant options with the limited capability of physical devices. Therefore, a sophisticated recommendation algorithm which attempts to recommend a list of user-preferred products or services should be incorporated in M-commerce applications. In this paper, we propose a personalized Context-aware M-commerce Recommender System which exploits the advantages of collaborative filtering and common understanding of contextual information. Since the recommendation algorithm is embedded in a layered system and closed related with other system components, we will present a comprehensive framework to integrate the concepts of mobile agent, ontology-based context model as well as service discovery and selection mechanism. We have developed a prototype to evaluate the feasibility and effectiveness of our proposal.