Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Automatic personalization based on Web usage mining
Communications of the ACM
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Ubiquity
The future of business services in the age of ubiquitous computing
Communications of the ACM
Personal and Ubiquitous Computing
Buffer Cache Management: Predicting the Future from the Past
ISPAN '02 Proceedings of the 2002 International Symposium on Parallel Architectures, Algorithms and Networks
Designing mobile commerce applications
Communications of the ACM - Mobile computing opportunities and challenges
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Dynamically-optimized context in recommender systems
Proceedings of the 6th international conference on Mobile data management
Customisation for ubiquitous web applications: a comparison of approaches
International Journal of Web Engineering and Technology
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Recommender systems address a variety of ubiquitous commerce needs. In ubiquitous commerce, contextual information must be incorporated into the recommendation process. The total amount of information is larger due to the greater number of contexts in multicontext environments. Multicontext therefore requires a more accurate and rapid recommendation method. This paper proposes a multicontext-aware recommendation for ubiquitous commerce using consumer's preferences and behavior as a weighting factor. The recommendation method is described and an application prototype is presented. Several experiments are performed and the results verify that the proposed method's recommendation performance is better than other existing method.