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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 : 12 / 13

ÇѱÛÁ¦¸ñ(Korean Title) »ç¿ëÀÚ °ü½É Á¤º¸ ±â¹ÝÀÇ Facebook ÆäÀÌÁö ¼øÀ§ ¸Å±è ¹× ´ëÇ¥ ÄÜÅÙÃ÷ ¼±Åà ±â¹ý
¿µ¹®Á¦¸ñ(English Title) A Facebook Page Ranking and Highlight Contents Selection Scheme based on User Interests
ÀúÀÚ(Author) À¯Á¦Çõ   Jehyeok Rew   ȲÀÎÁØ   Young-Hwan Choi   ÃÖ¿µÈ¯   Eenjun Hwang  
¿ø¹®¼ö·Ïó(Citation) VOL 03 NO. 02 PP. 0101 ~ 0108 (2014. 02)
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(Korean Abstract)
ÃÖ±Ù µé¾î, ¼Ò¼È ³×Æ®¿öÅ© ¼­ºñ½º¸¦ ÅëÇÑ ¸ÖƼ¹Ìµð¾î ÄÜÅÙÃ÷ÀÇ ¿­¶÷°ú °øÀ¯°¡ º¸ÆíÈ­µÊ¿¡ µû¶ó, »ç¿ëÀÚÀÇ °ü½ÉÀ̳ª Ư¡¿¡ ºÎÇյǴ ÄÜÅÙÃ÷ÀÇ È¿°úÀû Á¦°ø¿¡ ´ëÇÑ ¿å±¸°¡ ³ô¾ÆÁö°í ÀÖ´Ù. ƯÈ÷, »ý¼ºµÇ´Â ÄÜÅÙÃ÷ÀÇ ¹æ´ëÇÑ ¾çÀ» °í·ÁÇÒ ¶§ ÀûÇÕÇÑ ÄÜÅÙÃ÷ÀÇ È¿°úÀû ¼±ÅÃÀÌ »ç¿ëÀÚÀÇ ¸¸Á·µµ¸¦ Å©°Ô Á¿ìÇÏ°Ô µÈ´Ù. ¿¹¸¦ µé¾î, »ç¶÷°£ÀÇ °ü°è¿¡ ±â¹ÝÇÏ¿© °ü½É ÄÜÅÙÃ÷¸¦ Á¦°øÇÏ´Â ¹æ¹ýÀÇ °æ¿ì ½Å·Ú¼ºÀÌ ¾î´À Á¤µµ º¸ÀåµÇ±â ¶§¹®¿¡, »ç¿ëÀÚÀÇ È¿°úÀûÀÎ ¿­¶÷ÀÌ °¡´ÉÇÏ´Ù. ´ëÇ¥ÀûÀÎ ¼Ò¼È ³×Æ®¿öÅ© ¼­ºñ½ºÀÎ Facebook¿¡¼­ Á¦°øÇÏ´Â Facebook ÆäÀÌÁö´Â °ü½É»ç¿¡ ´ëÇÑ ÄÜÅÙÃ÷¸¦ ȹµæÇÒ ¼ö ÀÖ´Â °ø°£ÀÌÁö¸¸, »ç¿ëÀÚ´Â Á¦°øµÇ´Â ÄÜÅÙÃ÷ÀÇ ¾çÀÌ ³Ê¹« ¸¹¾Æ ¿øÇÏ´Â ¸ñÀû¿¡ ¸Â°Ô ÄÜÅÙÃ÷¸¦ ȹµæÇϱ⠾î·Æ´Ù. º» ³í¹®¿¡¼­´Â, °³ÀÎ »ç¿ëÀÚÀÇ °ü½É¿¡ µû¶ó Facebook ÆäÀÌÁö ÄÜÅÙÃ÷¸¦ ¼øÀ§º°·Î ¼±Á¤ÇÏ¿© ´ëÇ¥ ÄÜÅÙÃ÷¸¦ Á¦°øÇÏ´Â ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. »ç¿ëÀÚ °£ÀÇ Ä£¹Ðµµ¸¦ ÀÌ¿ëÇØ »ç¿ëÀÚ¸¦ °ü½É ºÐ¾ß¿¡ µû¶ó ±×·ìÈ­ÇÏ°í, ±×·ìÈ­ µÈ »ç¿ëÀڵ鿡°Ô Facebook ÆäÀÌÁö ÄÜÅÙÃ÷¸¦ Áß¿äµµ ¼øÀ§º°·Î ¼±ÅÃÇÏ¿© »ç¿ëÀÚ¿¡ Á¦°øÇÑ´Ù. ¸¶Áö¸·À¸·Î ½ÇÇèÀ» ÅëÇØ Á¦¾ÈµÈ ±â¹ýÀÇ ¼º´ÉÀ» º¸ÀδÙ.
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(English Abstract)
As browsing and sharing multimedia contents through various social network services have become very common these days. there has been a rising demand for effectively provide appropriate multimedia contents to users depending on their interest and characteristics. Especially, considering the enormous volume of multimedia contents created daily, user satisfaction heavily depends on effective selection of appropriate multimedia contents. For instance, if the acquisition of contents is based on friends or related people, then it is usually considered to be more trustworthy. Facebook page is one of the social spaces where people can obtain various information of interest. Still, users have difficulty in finding proper information because Facebook generates tremendous amount of data daily. In this paper, we proposed a scheme to extract and select Facebook page contents effectively. In our proposed scheme, users are grouped based on mutual intimacy and Facebook pages of interest are selected based on the ranking of importance. We show the performance of our scheme through experiments.
Å°¿öµå(Keyword) ÆäÀ̽ººÏ ÆäÀÌÁö   ¼øÀ§ ¼±Á¤   ´ëÇ¥ ÄÜÅÙÃ÷ ¼±Åà  Facebook Page   Ranking   Highlight Contents Selection  
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