Context-based Incremental Preference Analysis Method in Ubiquitous Commerce 


Vol. 11,  No. 7, pp. 1417-1426, Dec.  2004
10.3745/KIPSTD.2004.11.7.1417


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  Abstract

As Ubiquitous commerce is coming, personalization service is getting interested. And also the recommendation method which offers useful information to customer becomes more important. However, most of them depend on specific method and are restricted to the E-commerce. For applying these recommendation methods into U-commerce, first it is mecessary that the extended context modeling and systematic connection of the methods to complement strength and weakness of recommendation methods in each commercial transaction. Therefore, 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.

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[IEEE Style]

M. S. Ku, J. H. Hwang, N. K. Choi, D. Y. Jung, K. H. Ryu, "Context-based Incremental Preference Analysis Method in Ubiquitous Commerce," The KIPS Transactions:PartD, vol. 11, no. 7, pp. 1417-1426, 2004. DOI: 10.3745/KIPSTD.2004.11.7.1417.

[ACM Style]

Mi Sug Ku, Jeong Hee Hwang, Nam Kyu Choi, Doo Young Jung, and Keun Ho Ryu. 2004. Context-based Incremental Preference Analysis Method in Ubiquitous Commerce. The KIPS Transactions:PartD, 11, 7, (2004), 1417-1426. DOI: 10.3745/KIPSTD.2004.11.7.1417.

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