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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
ÅؽºÆ® ¸¶ÀÌ´×°ú ÅÂ±ë ½Ã½ºÅÛÀ» È°¿ëÇÑ »ç¿ëÀÚ ¸ÂÃã ¸ÀÁý Ãßõ Ç÷§Æû |
¿µ¹®Á¦¸ñ(English Title) |
Personalized Restaurants Recommendation Service Platform using Text Mining and Tagging System |
ÀúÀÚ(Author) |
À̳²±â
¹ÚÅ¿ë
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ÀÌ»óÁØ
Namkee Lee
Taeyong Park
Sanghoon Yang
Jinyoung Kim
Minsu Kang
Sangjun Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 31 NO. 02 PP. 0058 ~ 0069 (2015. 08) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Many people spend a lot of time to find a famous restaurant even though they can search on the Internet. Nowaday some people creates social media to attract business customers. So it is possible to get false information in social media. It is not easy to find a suitable restaurant that provides dishes suited their taste. To solve this problem, we propose a recommendation platform that provides a list of personalized restaurants. First, after crawling internet contents, the system analyzes their character using morphological analyzer and makes 'character dictionary'. The proposed system selects characteristic of words for each restaurant. Finally, when users choose characteristic of words, the proposed system provides list of restaurants suitable for the features
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