Context-based recommendation service in ubiquitous commerce

As Ubiquitous commerce is coming, personalization service is getting interested. And also the recommendation method that offers useful information to the customers becomes more important. However, the previous methods depend on specific method and are restricted to the E-commerce. For applying these recommendation methods into U-commerce, we propose a modeling technique of context information related to personal activation in commercial transaction and show incremental preference analysis method, using preference tree which is closely connected to recommendation method in each step. And also, we use an XML indexing technique to efficiently extract the recommendation information from a preference tree.