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ÇѱÛÁ¦¸ñ(Korean Title) |
Çö½Ç°ú °¡»ó ¼¼°è¿¡¼ »óÈ£ ½Å·Úµµ¿¡ ±â¹ÝÇÑ °³ÀÎÈ Á¤º¸ÀÇ ½Äº° ¹æ¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A Method on Retrieving Personalized Information Based on Mutual Trust in Real and Online World |
ÀúÀÚ(Author) |
±è¸íÈÆ
±è»ó¿í
Myeonghun Kim
Sangwook Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 06 NO. 05 PP. 0257 ~ 0266 (2017. 05) |
Çѱ۳»¿ë (Korean Abstract) |
ÃÖ±Ù ¼Ò¼È ³×Æ®¿öÅ©ÀÇ 2°¡Áö ÁÖ¸ñÇÒ ¸¸ÇÑ Æ¯Á¤Àº ¹Ù·Î Á¤º¸ÀÇ È«¼ö¿Í Á¤º¸ ¼ÒºñÀÇ °úºÎÇÏ ¹®Á¦ÀÌ´Ù. 1990³â´ëºÎÅÍ »óȲ ÀÎÁö ±â¹ÝÀÇ °³ÀÎȱâ¹ýµéÀ̳ª Ãßõ ½Ã½ºÅÛÀ» ÅëÇÏ¿© ÀÌ·¯ÇÑ ¹®Á¦µéÀ» ÇØ°áÇÏ°íÀÚ ÇÏ¿´´Âµ¥, ƯÈ÷ Ä¿¹Â´ÏƼ ¸â¹ö°£ÀÇ ½Å·Úµµ³ª Ä£¹Ðµµ¸¦ ±â¹ÝÀ¸·Î °³ÀÎÈ Á¤º¸¸¦ ¹ß°ßÇϱâ À§ÇÑ Á¢±Ù¹æ¹ýÀÌ ÃÖ±Ù ¼Ò¼È ³×Æ®¿öÅ©°¡ °Å´ëȵʿ¡ µû¶ó ±× Á߿伺ÀÌ ºÎ°¢µÇ°í ÀÖ´Ù. ±×·¯³ª ÀÌ·¯ÇÑ ´ëºÎºÐÀÇ Á¢±Ù¹ýµéÀº Çö½ÇÀÌ ¾Æ´Ñ ¿Â¶óÀÎ ¼¼°è¿¡¼ÀÇ »óÈ£ ½Å·Úµµ(¶Ç´Â Ä£¹Ðµµ)¸¸À» °í·ÁÇÏ´Â °æÇâÀÌ ÀÖ¾î º¸´Ù ´õ ³ôÀº °³ÀÎÈ ¼º´É(ÀûÀý¼º)À» °¡Áö±â À§Çؼ´Â Çö½Ç ¼¼°è±îÁö °í·ÁÇÒ ÇÊ¿ä°¡ ÀÖ´Ù. º» ¿¬±¸¿¡¼´Â ³ôÀº ÀûÀý¼ºÀ» °¡Áö´Â °³ÀÎÈ Á¤º¸¸¦ ½Äº°ÇÏ´Â »õ·Î¿î ¹æ¹ýÀ» Á¦½ÃÇϸç, ÀÌ·¯ÇÑ °³ÀÎÈ Á¤º¸¸¦ ¹ß°ßÇϱâ À§ÇÏ¿© Çö½Ç ¼¼°è¿Í ¿Â¶óÀÎ ¼¼°è¿¡¼ Á¤º¸ Á¦°øÀÚ¿Í ¼ö½ÅÀÚÀÇ »óÈ£ ½Å·Úµµ¸¦ ÃøÁ¤ÇÏ°í À̸¦ ±â¹ÝÀ¸·Î Á¤º¸ÀÇ Áß¿äµµ¸¦ ÆÇ´ÜÇÑ´Ù. ±×¸®°í º» ±â¹ýÀº °³Àο¡°Ô ½Å±Ô·Î Á¦°øµÇ´Â Á¤º¸°¡ ¾Æ´Ñ °ú°Å¿¡ ¼ÒºñÇÏÁö ¸øÇÏ°í ³õÄ£ Á¤º¸µéÀ» ´ë»óÀ¸·Î Àû¿ëÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Two remarkable problems of recent online social network are information overflow and information overload. Since the mid-1990s, many researches to overcome these issues have been conducted with information recommender systems and context awareness based personalization techniques, the importance of trust or relationship between users to discover influential information has been increasing as recent online social networks become huge. But almost researches have not regarded trust or relationship in real world while reflecting them in online world. In this paper, we present a novel method how to discover influential and spreadable information that is highly personalized to a user. This valuable information is extracted from an information set that consists of lots of information user missed in the past, and we assumes important information is likely to exist in this set.
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Å°¿öµå(Keyword) |
½Å·Úµµ ÃøÁ¤
¼Ò¼È ³×Æ®¿öÅ©
°³ÀÎÈ Á¤º¸
Á¤º¸ Ãßõ ½Ã½ºÅÛ
Trust Measure
Social Network
Personallized Information
Recommender System
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ÆÄÀÏ÷ºÎ |
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