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국내 논문지

홈 홈 > 연구문헌 > 국내 논문지 > 한국인터넷정보학회 논문지

한국인터넷정보학회 논문지

Current Result Document : 163 / 164

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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