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Design of Good Bibimbap Restaurant Recommendation System Using TCA based on BigData
2014
Advanced Science and Technology Letters
unpublished
Preserved Fulltext
This paper designs the model of bibimbap restaurant recommending 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
doi:10.14257/astl.2014.46.47
fatcat:3o7enhtxgfc5vf7s4sny5ute5y