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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Åë½ÅÇÐȸ Çмú´ëȸ > 2010³â Ãß°èÇмú´ëȸ

2010³â Ãß°èÇмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) °í°´ ¼­ºñ½º Â÷º°È­¸¦ À§ÇÑ Å°¿öµå ÃßÃ⠽ýºÅÛ ¼³°è¿¡ °üÇÑ ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Study of a Keyword Extraction System Design with a differentiated Service for Customer
ÀúÀÚ(Author) ÀÌÇöâ   ÃÖÇö¼®   ½Å¼ºÀ±   À̾ç¿ø   Hyun-chang Lee   Hyun-seok Choi   Yang-won Lee   Sung-yoon Shin  
¿ø¹®¼ö·Ïó(Citation) VOL 14 NO. 02 PP. 0638 ~ 0640 (2010. 10)
Çѱ۳»¿ë
(Korean Abstract)
bvÀÇ ¹«ÇÑ °æÀï »óȲ¿¡¼­ °í°´¿¡ ´ëÇÑ Â÷º°È­ µÈ ¼­ºñ½º¿¡ ´ëÇÏ¿© ¸¹Àº ±â¾÷µéÀÌ ±× Á߿伺À» ÀνÄÇÏ°í °í°´ ¸¸Á·À» À§ÇÏ¿© ¸¹Àº ³ë·ÂÀ» ÇØ¿Ô´Ù. ±×·¯ÇÑ ³ë·ÂµéÀÌ Ã¼°èÀûÀÎ °ü¸® ÇÏ¿¡ ÀÌ·ç¾îÁ® È¿°ú¸¦ ±Ø´ëÈ­ÇÏ¿© ±â¾÷ÀÇ ÀÌÀÍÀ¸·Î ¿¬°áµÇ´ÂÁöÀÇ °ü½É¿¡ e-CRM¿¡ ´ëÇÑ ³íÀÇ°¡ ¸¹¾ÆÁö°í ÀÖ´Ù. ÀÌ¿¡ µû¶ó e-ºñÁî´Ï½º¿¡¼­ÀÇ Áß¿ä ¿ä¼Ò ±â¼úÀÎ SCM, ERP, BPR, ISP ¹× CRM (Customer Relationship Management)¿¡ ´ëÇÑ ±â¼ú°³¹ß¿¡ ¸·´ëÇÑ ¿¹»êÀ» Ã¥Á¤ÇÏ¿© ¼öÀÍ ¸ðµ¨ °³¹ßÀ» °í¹ÎÇÏ°í ÀÖ´Ù. ÀÌ¿¡ º» ¿¬±¸¿¡¼­´Â Â÷º°È­ µÈ e-ºñÁî´Ï½º »ç¾÷ ¸ðµ¨À» ¸¶·ÃÇϱâ À§ÇÑ Çʼö ¿ä¼Ò ±â¼ú·Î½á Å°¿öµå ÃßÃ⠽ýºÅÛ ±¸Á¶¿¡ ´ëÇØ »ìÆ캸¸ç, °í°´È®º¸, °í°´°³¹ß ¹× °í°´À¯ÁöÀÇ ³ëÇϿ츦 ½ÀµæÇÑ´Ù. °í°´È®º¸¿¡¼­´Â ÀáÀç°í°´ ¹× ¿ì·®°í°´À» Á¤ÀÇÇÏ°í °í°´ÀÇ ´ÏÁ ÆÇ´ÜÇϸç, °í°´°³¹ß ºÎ¹®¿¡¼­´Â °í°´ÀÇ ÀÌ¿ë·ü Á¦°í ¹æÇâ°ú ÀáÀçÀû ±¸¸Å ´ÏÁ ºÐ¼®ÇÑ´Ù.
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(English Abstract)
The business of companies has become more fierce due to the age of limitless competition. In addition, to improve the service satisfaction of their customers, they have continued their efforts. The researches about making their efforts get profits have done. As a result, CRM(customer relationship management) which is appropriate to analysis, evaluate and draw one of solutions to satisfy customers is received attention. Therefore, in this material we consider a architecture for keyword extraction system which is a kind of necessary technology for e-business model to provide a differentiated service. And then we could get the know-how of customer acquisition and maintenance.
Å°¿öµå(Keyword) °í°´¼­ºñ½º   Å°¿öµåÃßÃ⠽ýºÅÛ   °í°´°ü°è°ü¸®   customer service   keyword extraction   CRM  
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