Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
¼Ò¼È ³×Æ®¿öÅ© ±â¹ÝÀÇ °³ÀÎ ¸ÂÃãÇü Á¤º¸Ãßõ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
Personalized Information Recommendation Technique based on Social Networks |
ÀúÀÚ(Author) |
Àü·ÃÈ
±è¿¬Á¤
±èº¸Çö
À̹μö
Lianhua Tian
Yeunjung Kim
Bohyun Kim
Minsoo Lee
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 19 NO. 12 PP. 0668 ~ 0672 (2013. 12) |
Çѱ۳»¿ë (Korean Abstract) |
ÃÖ±Ù Á¤º¸±â¼ú°ú ÀÎÅͳÝÀÇ ¹ßÀü¿¡ µû¸¥ Á¤º¸ÀÇ Æø¹ßÀûÀÎ Áõ°¡¿Í ÇÔ²², »ç¿ëÀÚ¿¡°Ô ÀÖ¾î¼ Á¤º¸È«¼ö ¼Ó¿¡¼ Àڽſ¡°Ô ÀûÇÕÇÑ Á¤º¸ÀÇ È¹µæÀÌ Á¡Á¡ ¾î·Á¿öÁö°í ÀÖ´Ù. ÀÌ·¯ÇÑ ½ÃÁ¡¿¡¼ »ç¿ëÀÚ °³°³ÀÎÀÇ ÃëÇâÀ» ¹Ý¿µÇÑ °³ÀÎÈ Ãßõ¿¡ ´ëÇÑ ¿¬±¸°¡ Àý½ÇÈ÷ ¿ä±¸µÇ°í ÀÖ´Ù. º» ³í¹®¿¡¼´Â ¼Ò¼È ³×Æ®¿öÅ©¿¡¼ Ãßõ¿¡ °ü·ÃµÈ ´Ù¾çÇÑ ¿ä¼ÒµéÀ» ã¾Æ³»°í ½ÉÃþÀûÀ¸·Î ºÐ¼®ÇÔÀ¸·Î¼ »ç¿ëÀÚ °³°³ÀÎÀÇ ÃëÇâÀ» ¸í½ÃÀûÀ¸·Î ¹Ý¿µÇÒ ¼ö ÀÖ´Â °³ÀÎÈ Á¤º¸Ãßõ±â¹ý¿¡ ´ëÇÏ¿© ¿¬±¸¸¦ ÁøÇàÇÏ¿´´Ù. Á¤º¸Ãßõ±â¹ýÀº ¼Ò¼È ³×Æ®¿öÅ©ÀûÀÎ ¿ä¼Ò¿Í »ç¿ëÀÚ Æò°¡ÀÌ·ÂÀ» ÀÌ¿ëÇÏ¿© Çù¾÷ÇÊÅ͸µÀ» Àû¿ëÇÏ¿´´Ù. À̸¦ È°¿ëÇÑ Ãßõ±â¹ýÀº ¼Ò¼È ³×Æ®¿öÅ©¸¦ ¹ÙÅÁÀ¸·Î ÇÏ´Â ´Ù¾çÇÑ Ãßõ½Ã½ºÅÛ¿¡¼ À¯¿¬ÇÏ°Ô È°¿ëµÉ ¼ö ÀÖÀ» °ÍÀ¸·Î ¿¹»óÇÑ´Ù.
|
¿µ¹®³»¿ë (English Abstract) |
It came hard for users to get the meaningful and requisite information in a deluge of information with an explosive increase according to the internet technology development. At this point in time, it is necessary for us to conduct research on personalized recommendation that reflects personal characteristics. In this paper, we analyzed the social network factors related to recommendation and provide a personalized information recommendation technique. The information recommendation technique uses a collaborative filtering approach by using the factors of the social network and the user¡¯s evaluation history. The proposed technique can be used flexibly in various recommendation systems based on the
|
Å°¿öµå(Keyword) |
¼Ò¼È ³×Æ®¿öÅ©
°³ÀÎÈ Á¤º¸Ãßõ
Çù¾÷ ÇÊÅ͸µ
Àü¹®°¡ Ãßõ
social network
personalized information recommend
collaborative filtering
expert recommendation
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|