Context-based Preference Analysis Method in Ubiquitous Commerce

Authors:
Jeong Hee Hwang;Myungjin Lee;Oh-Cheon Kwon;Keun Ho Ryu
Affiliations:
Database Laboratory, Chungbuk National University;Telematics Research Division Electronics and Telecommunications;Telematics Research Division Electronics and Telecommunications;Database Laboratory, Chungbuk National University
Venue:
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Year:
2005

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Abstract

As the age of ubiquitous commerce is upon us, personalization service is getting interested. Therefore, the recommendation methods that offer useful information to the customers become more important. However, most of them depend on a specific method and are restricted to the Ecommerce. For applying these recommendation methods into U-commerce, first it is necessary that the extended context modeling and systematic connection of the methods to supplement some deficiency of each recommendation method. Therefore, we propose a modeling technique of context information related to personal activity 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.