Contextual Advertisement System based on Document Clustering


The KIPS Transactions:PartB , Vol. 15, No. 1, pp. 73-80, Feb. 2008
10.3745/KIPSTB.2008.15.1.73,   PDF Download:

Abstract

In this paper, an advertisement-keyword finding method using document clustering is proposed to solve problems by ambiguous words and incorrect identification of main keywords. News articles that have similar contents and the same advertisement-keywords are clustered to construct the contextual information of advertisement-keywords. In addition to news articles, the web page and summary of a product are also used to construct the contextual information. The given document is classified as one of the news article clusters, and then cluster-relevant advertisement-keywords are used to identify keywords in the document. We could achieve 21% precision improvement by our proposed method.


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Cite this article
[IEEE Style]
D. K. Lee, I. H. Kang, D. U. An, "Contextual Advertisement System based on Document Clustering," The KIPS Transactions:PartB , vol. 15, no. 1, pp. 73-80, 2008. DOI: 10.3745/KIPSTB.2008.15.1.73.

[ACM Style]
Dong Kwang Lee, In Ho Kang, and Dong Un An. 2008. Contextual Advertisement System based on Document Clustering. The KIPS Transactions:PartB , 15, 1, (2008), 73-80. DOI: 10.3745/KIPSTB.2008.15.1.73.