期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：7
页码：95-106
DOI：10.14257/ijseia.2014.8.7,08
出版社：SERSC
摘要：This paper designs the model of bibimbap restaurant recommendation system in BigData(collected from Twitter's data related to bibimbap). We suggests a TCA (Termite Colony Algorithm) k-means algorithm for clustering BigData, TCA algorithm that used the habits of termites. Through the TCA, finding the appropriate initial clustering needed for the K-means clusters is the goal. We recommend good Bibimpop restaurant to user, using "Bibimbap Restaurant database of Korea (2012)" and an "Taste Adjective Dictionary for the Globalization of Korean Food" for Ranking Algorithm
