Context-based Preference Analysis Method in Ubiquitous Commerce

Jeong Hee Hwang, Myungjin Lee, Oh-Cheon Kwon, Keun Ho Ryu

Research output: Chapter in Book/Report/Conference proceedingChapter

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 e-commerce. 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.
Original languageEnglish
Title of host publicationInternational Workshop on Ubiquitous Data Management, 2005. UDM 2005
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages25-32
Number of pages8
ISBN (Print)0-7695-2411-7
DOIs
Publication statusPublished - 2005

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