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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö ¼ÒÇÁÆ®¿þ¾î ¹× µ¥ÀÌÅÍ °øÇÐ

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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ÅäÇȸ𵨸µ ¹× ÁÖ¼ººÐ ºÐ¼® ±â¹Ý °Ë»ö ÁúÀÇ À¯Çü ºÐ·ù ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Study on Search Query Topics and Types using Topic Modeling and Principal Components Analysis
ÀúÀÚ(Author) °­Çö¾Æ   ÀÓÈñ¼®   Hyun-Ah Kang   Heui-Seok Lim                    
¿ø¹®¼ö·Ïó(Citation) VOL 10 NO. 06 PP. 0223 ~ 0224 (2021. 06)
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(Korean Abstract)
4Â÷ »ê¾÷ Çõ¸í ½Ã´ëÀÇ µµ·¡¿¡ µû¶ó ¼îÇÎÀÇ ÇàÅ´ ´õ¿í ºü¸£°Ô ¿ÀÇÁ¶óÀο¡¼­ ¿Â¶óÀÎÀ¸·Î À̵¿ÇÏ°í ÀÖ´Ù. ¿Â¶óÀÎ ¼îÇο¡¼­ °í°´ÀÇ Á¤º¸¿ä±¸¸¦ °¡Àå Áý¾àÀûÀ¸·Î º¸¿©ÁÖ´Â °ÍÀÌ ¹Ù·Î °Ë»ö ÁúÀÇÀÌ´Ù. ÇÏÁö¸¸ °Ë»ö ºÐ¾ß¿¡¼­µµ °Ë»ö ÁúÀÇ °ü·Ã ¿¬±¸ »ç·Ê´Â ¸¹Áö ¾ÊÀ¸¸ç ´ëºÎºÐÀÇ °Ë»ö ÁúÀÇ ¿¬±¸ ºÐ¾ß ¼±Çà ¿¬±¸µéÀº ¿¬±¸ÀÚÀÇ Á¤¼ºÀûÀÎ ÆÇ´Ü¿¡ ±Ù°ÅÇÏ¿© Á¦ÇÑÀûÀÎ ÁÖÁ¦¿Í µ¥ÀÌÅÍ ±â¹ÝÀ¸·Î ¿¬±¸µÇ¾î ¿Ô´Ù. ÀÌ¿¡ º» ¿¬±¸´Â °Ë»ö ÁúÀÇ ¿¬±¸ ºÐ¾ß¿¡ ±â°èÇнÀÀ» Àû¿ëÇÏ¿© °Ë»ö ÁúÀÇ¿Í °Ë»ö ÀÌÈÄ ÀÌ¿ëÀÚ°¡ Á¶È¸ÇÑ ¹®¼­¸í ·Î±×¸¦ ±â¹ÝÀ¸·Î ÅäÇȸ𵨸µ ¼öÇà ÈÄ °Ë»ö ÁúÀÇ ÁÖÁ¦¸¦ Á¤ÀÇÇÔÀ¸·Î½á µ¥ÀÌÅÍ ±â¹ÝÀÇ Á¤·®Àû ¹æ¹ý·ÐÀ¸·Î 15°³ÀÇ °Ë»ö ÁúÀÇ ÁÖÁ¦ À¯ÇüÀ» Á¤ÀÇÇÏ¿´´Ù. ¶ÇÇÑ ±âÁ¸ °Ë»ö¾î ÀÚü¸¸À» º¸°í ÆÇ´ÜÇÏ´ø ÁÖÁ¦ À¯Çü¿¡¼­ ³ª¾Æ°¡ °Ë»ö ÇൿƯ¼ºÀ» ¹Ý¿µÇÑ À¯ÇüÀ» Á¤ÀÇÇϱâ À§ÇÏ¿© ÁÖ¼ººÐ ºÐ¼®À» ÅëÇØ ÁÖ¿ä º¯¼ö¸¦ ÃßÃâ ÈÄ °¢ ÁÖÁ¦º° °Ë»ö ÇൿƯ¼ºÀ» ºÐ¼®ÇÔÀ¸·Î½á °Ë»ö Ž»ö È°¼ºµµ, »óÇ° °ü¿©µµ¿¡ µû¸¥ 4°¡ÁöÀÇ »õ·Î¿î °Ë»ö ÁúÀÇ À¯Çü ºÐ·ùü°è¸¦ Á¦½ÃÇÏ¿´´Ù. º» ¿¬±¸°á°ú´Â È¿°úÀûÀÎ °Ë»ö¼­ºñ½º ±¸Ãà ¹× °Ë»ö ½Ã½ºÅÛ °³¹ß¿¡ ±â¿©ÇÒ °ÍÀ¸·Î ±â´ëµÈ´Ù.
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(English Abstract)
Recent advances in the 4th Industrial Revolution have accelerated the change of the shopping behavior from offline to online. Search queries show customers' information needs most intensively in online shopping. However, there are not many search query research in the field of search, and most of the prior research in the field of search query research has been studied on a limited topic and data-based basis based on researchers' qualitative judgment. To this end, this study defines the type of search query with data-based quantitative methodology by applying machine learning to search research query field to define the 15 topics of search query by conducting topic modeling based on search query and clicked document information. Furthermore, we present a new classification system of new search query types representing searching behavior characteristics by extracting key variables through principal component analysis and analyzing. The results of this study are expected to contribute to the establishment of effective search services and the development of search systems.
Å°¿öµå(Keyword) °Ë»ö ÁúÀÇ À¯Çü   ÅؽºÆ®¸¶ÀÌ´×   ÅäÇȸ𵨸µ   PCA   ·Î±× ºÐ¼®   Search Query Types   Text Mining   Topic Modeling   PCA   Log Analysis  
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