Communications of the ACM
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Making recommendations better: an analytic model for human-recommender interaction
CHI '06 Extended Abstracts on Human Factors in Computing Systems
A study of mixture models for collaborative filtering
Information Retrieval
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Deploying personalized mobile services in an agent-based environment
Expert Systems with Applications: An International Journal
An information overload study: using design methods for understanding
OZCHI '06 Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
3G evolution scenario toward 4G: Super 3G concept: Research Articles
Wireless Communications & Mobile Computing - Asia-Pacific B3G R&D Activities and Technology Innovations
Exploring m-commerce in terms of viability, growth and challenges
International Journal of Mobile Communications
Trust-based recommendation systems: an axiomatic approach
Proceedings of the 17th international conference on World Wide Web
Expert Systems with Applications: An International Journal
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
A mobile location-based information recommendation system based on GPS and WEB2.0 services
WSEAS Transactions on Computers
Review: Personalizing recommendations for tourists
Telematics and Informatics
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With the rapid advancement of wireless technologies and mobile devices, mobile services offer great convenience and huge opportunities for service creation. However, information overload make service recommendation become a crucial issue in mobile services. Although traditional single-criteria recommendation systems have been successful in a number of personalization applications, obviously individual criterion cannot satisfy consumers' demands. Relying on multi-criteria ratings, this paper presents a novel recommendation system using the multi-agent technology. In this system, the ratings with respect to the three criteria are aggregated into an overall service ranking list by a rank aggregation algorithm. Furthermore, all of the services are classified into several clusters to reduce information overload further. Finally, Based on multi-criteria rank aggregation, the prototype of a recommendation system is implemented. Successful applications of this recommendation system have demonstrated the efficiency of the proposed approach.