Leveraging Big Data for Spark Deep Learning to Predict Rating

황철훈; 신건윤; 김동욱; 한명묵; Cheol-hun Hwang; Gun-Yoon Shin; Dong-Wook Kim; Myung-Mook Han; 김현호; 한석민; Hyeonho Kim; Seokmin Han; Monika Mishra; Mingoo Kang; Jongwook Woo

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한글제목(Korean Title)	Leveraging Big Data for Spark Deep Learning to Predict Rating
영문제목(English Title)	Leveraging Big Data for Spark Deep Learning to Predict Rating
저자(Author)	황철훈 신건윤 김동욱 한명묵 Cheol-hun Hwang Gun-Yoon Shin Dong-Wook Kim Myung-Mook Han 김현호 한석민 Hyeonho Kim Seokmin Han Monika Mishra Mingoo Kang Jongwook Woo
원문수록처(Citation)	VOL 21 NO. 06 PP. 0033 ~ 0039 (2020. 12)
한글내용 (Korean Abstract)
영문내용 (English Abstract)	The paper is to build recommendation systems leveraging Deep Learning and Big Data platform, Spark to predict item ratings of the Amazon e-commerce site. Recommendation system in e-commerce has become extremely popular in recent years and it is very important for both customers and sellers in daily life. It means providing the users with products and services they are interested in. Therecommendation systems need users’ previous shopping activities and digital footprints to make best recommendation purpose for next item shopping. We developed the recommendation models in Amazon AWS Cloud services to predict the users’ ratings for the items with the massive data set of Amazon customer reviews. We also present Big Data architecture to afford the large scale data set for storing and computation. And, we adopted deep learning for machine learning community as it is known that it has higher accuracy for the massive data set. In the end, a comparative conclusion in terms of the accuracy as well as the performance is illustrated with the Deep Learning architecture with Spark ML and the traditional Big Data architecture, Spark ML alone.
키워드(Keyword)	안드로이드 저자 식별 저자 식별 중복 특징 제거 서바이벌 네트워크 Android Authorship Attribution Authorship Attribution Remove duplicate features Survival network 철도표면 생성적 적대적 네트워크 영상 생성 조건부 생성모델 검출 모델 Railroad surface Generative Adversarial Network Image Representation Conditional generation model Detection Model Big Data Deep Learning Spark Analytics Zoo Amazon EMR Machine Learning Recommendation
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