ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Contextual Advertisement System based on Document Clustering |
ÀúÀÚ(Author) |
À̵¿±¤
°ÀÎÈ£
¾Èµ¿¾ð
DongKwang Lee
In-Ho Kang
Dongun An
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 15-B NO. 01 PP. 0073 ~ 0080 (2008. 02) |
Çѱ۳»¿ë (Korean Abstract) |
º» ¿¬±¸¿¡¼´Â ¹®¼ Ŭ·¯½ºÅ͸µÀ» ÀÌ¿ëÇÏ¿© µ¿À½ ÀÌÀǾî¿Í ÇÙ½É´Ü¾î ¼±Á¤ ½ÇÆзΠÀÎÇØ ¹ß»ýÇÏ´Â ÀÚµ¿ ±¤°í ½Ã½ºÅÛÀÇ ¿À·ù¸¦ ÇØ°áÇÏ´Â ±¤°í Å°¿öµå ÃßÃâ¹æ½ÄÀ» Á¦¾ÈÇÑ´Ù. ¸ÕÀú ´ë±Ô¸ð ´º½º±â»ç¸¦ ´ë»óÀ¸·Î À¯»çÇÑ ³»¿ëÀ» °¡Áö¸ç µ¿ÀÏÇÑ ±¤°í Å°¿öµå¿Í ¿¬°üÀÌ ÀÖ´Â ±â»çµéÀ» ÀÚµ¿À¸·Î ºÐ·ùÇÏ¿© ±¤°í Å°¿öµå¿¡ ´ëÇÑ ¹®¸Æ Á¤º¸¸¦ ±¸ÃàÇÑ´Ù. ¶ÇÇÑ ±¤°í ´ë»ó¹°¿¡ ´ëÇÑ ±¤°íÁÖÀÇ ¿ä¾à Á¤º¸³ª ±¤°í ´ë»ó À¥ÆäÀÌÁö¸¦ ºÐ¼®ÇÏ¿© ±¤°í Å°¿öµå¿¡ ´ëÇÑ ¹®¸Æ Á¤º¸¸¦ ÃßÃâÇÏ´Â ¹æ½ÄÀ» º¸ÀδÙ. ÀÌ·¸°Ô ±¸ÃàµÈ ¹®¼ ºÐ·ù¿Í ±¤°í Å°¿öµå¿ë ¹®¸Æ Á¤º¸¸¦ ÀÌ¿ëÇÏ¿© ±¤°í ´ë»ó ¹®¼°¡ ¼ÓÇÑ ¹®¼ ºÐ·ù¸¦ ÃßÁ¤ÇÏ¿© ´Ü¾îµéÀÇ ÀǹÌÀûÀÎ ¾Ö¸Å¼ºÀ» ÇØ°áÇÏ°í, ÃßÁ¤ÇÑ ¹®¼ ºÐ·ù¿Í °ü·Ã ÀÖÀ¸¸é¼ ¹®¸ÆÀûÀ¸·Î Á߿伺À» °¡Áö´Â ÇÙ½É ´Ü¾îµéÀ» ¼±Á¤ÇÏ¿© ±¤°í Å°¿öµå¸¦ ÃßÃâÇÑ´Ù. »ó¿ë ±¤°í ½Ã½ºÅÛ°úÀÇ ºñ±³ ºÐ¼® °á°ú ½Å¹® ±â»ç³ª ÀÏ¹Ý ºí·Î±×¸¦ ´ë»óÀ¸·Î ÃÖ¼Ò 21%ÀÇ ¼º´É Çâ»óÀ» ¾ò¾ú´Ù. |
¿µ¹®³»¿ë (English 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. |
Å°¿öµå(Keyword) |
±¤°í Å°¿öµå ÃßÃâ
¹®¼ Ŭ·¯½ºÅ͸µ
¹®¸Æ ±â¹Ý ±¤°í
Finding Advertisement-Keyword
Document Clustering
Contextual Advertisement
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