ÇѱÛÁ¦¸ñ(Korean Title) |
À͸í À¥·Î±× Ž»ç¿¡ ±â¹ÝÇÑ µ¿Àû ¸µÅ© Ãßõ |
¿µ¹®Á¦¸ñ(English Title) |
Dynamic Link Recommendation Based on Anonymous Weblog Mining |
ÀúÀÚ(Author) |
À±¼±Èñ
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¿ø¹®¼ö·Ïó(Citation) |
VOL 10-C NO. 05 PP. 0647 ~ 0656 (2003. 10) |
Çѱ۳»¿ë (Korean Abstract) |
À¥ °ø°£(Webspace)¿¡¼ »ç¿ëÀÚÀÇ ¼øȸÆÐÅÏÀ» Æ÷ÂøÇÏ´Â °ÍÀ» ¡®¼øȸÆÐÅÏ Å½»ç(mining traversal patterns)¡¯¶ó ÇÑ´Ù. ¼øȸÆÐÅÏ Å½»ç¿¡¼´Â »ç¿ëÀÚ°¡ ¿øÇÏ´Â Á¤º¸¸¦ Ž»öÇϱâ À§ÇØ Á¤º¸ Á¦°ø ¼ºñ½º¿¡ µû¶ó À̵¿Çϱ⠶§¹®¿¡ °´Ã¼(¿¹£ºURL)ÀÇ ³»¿ëº¸´Ù´Â À§Ä¡ ¶§¹®¿¡ ¹æ¹®µÉ ¼öµµ ÀÖ´Â µ¶Æ¯ÇÑ Æ¯Â¡À» °¡Áø´Ù. µû¶ó¼ ¼øȸÆÐÅÏ µ¥ÀÌÅͷκÎÅÍ ÀǹÌÀÖ´Â Á¤º¸¸¦ ÃßÃâÇÏ´Â ÀÛ¾÷ÀÇ º¹Àâµµ¸¦ Å©°Ô Áõ°¡½ÃŲ´Ù. ±×·¯³ª ÀÌ·¯ÇÑ Á¤º¸ Á¦°ø ¼ºñ½ºÀÇ ÁúÀ» °³¼±Çϱâ À§ÇÑ ¿ä±¸°¡ Áõ°¡ÇÏ°í Àֱ⠶§¹®¿¡ µ¥ÀÌÅÍ Å½»ç ºÐ¾ß¿¡¼ ¼øȸÆÐÅÏ Å½»ç ¹®Á¦´Â ÃÖ±Ù Áß¿äÇÑ ¹®Á¦·Î ´ëµÎµÇ°í ÀÖ´Ù. º» ³í¹®¿¡¼´Â ºó¹ß ¼øȸÆÐÅÏÀ» Ž»çÇÏ¿© À¥ »çÀÌÆ® »ó¿¡¼ ÃßõÀ» ¼öÇàÇÏ´Â µ¿Àû ¸µÅ© Ãßõ(Dynamic Link Recommendation£»DLR) ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÑ DLR ¾Ë°í¸®ÁòÀº ¹æ´ëÇÑ ÀڷḦ Æ÷ÇÔÇÏ°í ÀÖ´Â ´ëºÎºÐÀÇ À¥ »çÀÌÆ®¿¡ È¿°úÀûÀ¸·Î Àû¿ëµÉ ¼ö ÀÖ´Ù. µÎ °³ÀÇ ½ÇÁ¦ À¥ »çÀÌÆ®¿¡ Àû¿ëÇÑ ½ÇÇè °á°ú´Â Á¦¾ÈÇÑ ¹æ¹ýÀÇ ¼º´ÉÀÌ ¿ì¼öÇÔÀ» º¸¿©ÁØ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In Webspace, mining traversal patterns is to understand user¡¯s path traversal patterns. On this mining, it has a unique characteristic which objects (for example, URLs) may be visited due to their positions rather than contents, because users move to other objects according to providing information services. As a consequence, it becomes very complex to extract meaningful information from these data. Recently discovering traversal patterns has been an important problem in data mining because there has been an increasing amount of research activity on various aspects of improving the quality of information services. This paper presents a Dynamic Link Recommendation (DLR) algorithm that recommends link sets on a Web site through mining frequent traversal patterns. It can be employed to any Web site with massive amounts of data. Our experimentation with two real Weblog data clearly validate that our method outperforms traditional method.
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Å°¿öµå(Keyword) |
À¥·Î±× Ž»ç
Weblog Mining
Ŭ·¯½ºÅ͸µ
Clustering
µ¿Àû ¸µÅ© Ãßõ
Dynamic Link Recommendation
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ÆÄÀÏ÷ºÎ |
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