Automated Classification Scheme Generation using Product Attribute Information


The KIPS Transactions:PartD, Vol. 14, No. 5, pp. 491-500, Aug. 2007
10.3745/KIPSTD.2007.14.5.491,   PDF Download:

Abstract

In order to classify and manage on-line trading goods, the product classification scheme must be maintained. In most systems for handling product information, the classification scheme is managed manually by experts, which in general incurs a lot of time and cost. Effective management of classification system becomes more important as rapid development of industry expedites diversity and convergence of goods and services. There have been many researches on developing classification scheme, and continuing in this line of research, this paper proposes a new method for automatic generation of product classification scheme. Our main idea starts from the concept that a product is a set of attributes, and we propose a novel algorithm for automatically creating hierarchical classification scheme by utilizing inclusive relationships between products. We then prove the effectiveness of proposed algorithm by conducting an experiment.


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Cite this article
[IEEE Style]
D. S. Jang and J. H. Chun, "Automated Classification Scheme Generation using Product Attribute Information," The KIPS Transactions:PartD, vol. 14, no. 5, pp. 491-500, 2007. DOI: 10.3745/KIPSTD.2007.14.5.491.

[ACM Style]
Du Seok Jang and Jong Hoon Chun. 2007. Automated Classification Scheme Generation using Product Attribute Information. The KIPS Transactions:PartD, 14, 5, (2007), 491-500. DOI: 10.3745/KIPSTD.2007.14.5.491.