• Àüü
  • ÀüÀÚ/Àü±â
  • Åë½Å
  • ÄÄÇ»ÅÍ
´Ý±â

»çÀÌÆ®¸Ê

Loading..

Please wait....

±¹³» ³í¹®Áö

Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦

Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦

Current Result Document : 2 / 3

ÇѱÛÁ¦¸ñ(Korean Title) ½Ç½Ã°£ »ç¿ëÀÚ ÇÁ·ÎÆÄÀÏÀ» ¹Ý¿µÇÑ »óȲÀÎÁö DVB ¹æ¼Û Ãßõ ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title) A Context Aware DVB Recommendation System based on Real-time Adjusted User Profiles
ÀúÀÚ(Author) ¹Ú¿µ¹Î   Á¶¼º¹è   YoungMin Park   SungBae Cho  
¿ø¹®¼ö·Ïó(Citation) VOL 16 NO. 12 PP. 1244 ~ 1248 (2010. 12)
Çѱ۳»¿ë
(Korean Abstract)
±âÁ¸ÀÇ ¹æ¼Û Ãßõ ½Ã½ºÅÛÀº »ç¿ëÀÚ ÇÁ·ÎÆÄÀÏ Á¤º¸¸¦ ÀÔ·ÂÇÏ°í À̸¦ ±â¹ÝÀ¸·Î ÄÜÅÙÃ÷ ¸ÞŸµ¥ÀÌÅÍ¿Í ÀÏÄ¡µÇ´Â ÄÜÅÙÃ÷¸¦ ÃßõÇÏ´Â ÇüÅ·Π¿¬±¸°¡ ÁøÇàµÇ¾ú´Ù. ±×·¯³ª µðÁöÅÐ TV¿Í °°ÀÌ »ç¿ëÀÚ¿ÍÀÇ »óÈ£µ¿ÀÛÀÌ ¸¹Àº ±â±â¿¡¼­´Â »ç¿ëÀÚµéÀÇ ÇÁ·ÎÆÄÀÏÀº °è¼Ó º¯°æÀÌ ÀϾ°í ÀÖ°í, »ç¿ëÀÚÀÇ Àǵµ¿Í ÇÁ·ÎÆÄÀÏÀ» Á¤È®È÷ ÆľÇÇÏ´Â °ÍÀÌ ÃßõÀÇ Á¤È®µµ¿Í ¸¸Á·µµ¸¦ ³ôÀÌ´Â °ÍÀÌ´Ù. µû¶ó¼­ º» ³í¹®¿¡¼­´Â »ç¿ëÀÚÀÇ ¸®¸ðÄÁ ÀԷ°ú ¹æ¼Û½Ãû½Ã°£À» ÅëÇØ ½Ç½Ã°£À¸·Î »ç¿ëÀÚ ÇÁ·ÎÆÄÀÏ Á¤º¸¸¦ ÃßÃâÇÏ°í, ÀÌ Á¤º¸¿Í ÄÜÅÙÃ÷ ¸ÞŸ µ¥ÀÌÅÍ¿Í ¿¬°ü¼ºÀ» ÆľÇÇÏ¿© »ç¿ëÀÚ¿¡°Ô ÃÖÀûÀÇ ¹æ¼Û ÄÜÅÙÃ÷¸¦ ÃßõÇÑ´Ù. ¶ÇÇÑ ÀÓº£µðµå ½Ã½ºÅÛÀÇ Çϵå¿þ¾î ¹× ÄÄÇ»Æà ÆÄ¿öÀÇ Á¦¾àÀ» °í·ÁÇÏ¿© ³×Æ®¿öÅ© Åë½ÅÀ̳ª »ó¿ë µ¥ÀÌÅͺ£À̽º ½Ã½ºÅÛÀ» »ç¿ëÇÏÁö ¾Ê¾Ò°í, ½Ãû ½Ã°£¿¡ µû¶ó »ç¿ëÀÚ°¡ ¿øÇÏ´Â ÄÜÅÙÃ÷ÀÇ À帣°¡ ´Ù¸£´Ù´Â Á¡À» °í·ÁÇÏ¿© ÇöÀç½Ã°£À» ±âÁØÀ¸·Î ÄÜÅÙÃ÷¸¦ ÃßõÇÏ¿© »ç¿ëÀÚ ¸¸Á·µµ¸¦ Áõ°¡½ÃÄ×´Ù.
¿µ¹®³»¿ë
(English Abstract)
The previous study of Digital Broadcasting Recommendation system is based on user explicit profiling information. But user profile is always changing and the exact extraction of user profile is very important in recommendation system like Digital TV using many user interactions. This paper is studied of realtime user profiles aggregation through user remote controller input and matching this profiles with contents meta-data like contents genre information, event information ,content viewing time. It is not used commercial database system and network communication solution considering embedded system hardware restriction. And it is considered people want different content genre based on watching time. From the results of this paper, there are improvement of user satisfaction of contents recommendation.

Å°¿öµå(Keyword) ¹®¸ÆÀÎÁö   ½Ç½Ã°£ Ãßõ   »ç¿ëÀÚ ÇÁ·ÎÆÄÀÏ   DVB ¹æ¼Û   Context Aware   Realtime Recommendation   User Profile   DVB Broadcasting  
ÆÄÀÏ÷ºÎ PDF ´Ù¿î·Îµå