Search Results - "Hwang, Syjung"

Public perspective on renewable and other energy resources: Evidence from social media big data and sentiment analysis by Jeong, Dahye, Hwang, Syjung, Kim, Jisu, Yu, Hyerim, Park, Eunil

“…To address global climate change, many countries are reducing CO2 emissions and replacing conventional energy resources with alternative ones. When developing…”
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Who will be your next customer: A machine learning approach to customer return visits in airline services by Hwang, Syjung, Kim, Jina, Park, Eunil, Kwon, Sang Jib

“…•A machine learning approach is employed to predict customer return visits of airline services.•More than 80% accuracy is presented with customer feedback…”
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Movie Recommendation Systems Using Actor-Based Matrix Computations in South Korea by Hwang, Syjung, Park, Eunil

“…A recommendation system saves the user the trouble of searching for information and analyzes their profile to recommend the most suitable content. A variety of…”
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iMovieRec: a hybrid movie recommendation method based on a user-image-item model by Hwang, Syjung, Ahn, Hyeongjin, Park, Eunil

“…We propose iMovieRec, a hybrid movie recommendation method that employs an image-user-item model, which utilizes both CF models and graph features. The purpose…”
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Determinants of customer brand loyalty in the retail industry: A comparison between national and private brands in South Korea by Hwang, Syjung, Lee, Minyoung, Park, Eunil, del Pobil, Angel P.

“…Finding motivations for customer brand loyalty is one of the most popular academic and practical research fields; in this regard, some scholars have explored…”
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Can we predict the Oscar winner? A machine learning approach with social network services by Kim, Jisu, Hwang, Syjung, Park, Eunil

“…•This study investigates user-created posts on the Oscar-nominated films in social network services.•Based on this investigation, the current study proposes…”
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A deep hybrid learning model for customer repurchase behavior by Kim, Jina, Ji, HongGeun, Oh, Soyoung, Hwang, Syjung, Park, Eunil, del Pobil, Angel P.

“…Smartphones have become an integral part of our daily lives, which has led to the rapid growth of the smartphone market. As the global smartphone market tends…”
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Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture by Ji, Honggeun, Kim, Jina, Hwang, Syjung, Park, Eunil

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