Zobrazeno 1 - 10 of 126 pro vyhledávání: '"Kyoung Jun Lee"'
1
Akademický článek
Developing Personalized Marketing Service Using Generative AI
Autor: Gun Ho Lee, Kyoung Jun Lee, Baek Jeong, Taekyung Kim
Publikováno v: IEEE Access, Vol 12, Pp 22394-22402 (2024)
In today’s world, the development of social network services (SNS) like Facebook and Instagram has enabled consumers to acquire information about products through various channels. The acquisition of diverse information has led to a diversification
Externí odkaz: https://doaj.org/article/57e366ae89b04522b6792001cdfbcaf5
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2
Akademický článek
NLP-Based Recommendation Approach for Diverse Service Generation
Autor: Baek Jeong, Kyoung Jun Lee
Publikováno v: IEEE Access, Vol 12, Pp 14260-14274 (2024)
In this study, we examine the potential of language models for natural language processing (NLP)-based recommendations, with a distinct focus on predicting users’ next product purchases based on their prior purchasing patterns. Our model specifical
Externí odkaz: https://doaj.org/article/14de51bffff04de593cea6b04d79b3c7
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3
Akademický článek
Recommendation system with minimized transaction data
Autor: Yujeong Hwangbo, Kyoung Jun Lee, Baek Jeong, Kyung Yang Park
Publikováno v: Data Science and Management, Vol 4, Iss , Pp 40-45 (2021)
This paper deals with the recommendation system in the so-called user-centric payment environment where users, i.e., the payers, can make payments without providing self-information to merchants. This service maintains only the minimum purchase infor
Externí odkaz: https://doaj.org/article/9f976f6ae98947dc9e8fdd0ced54d428
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4
Akademický článek
How to Sustain Smart Connected Hospital Services: An Experience from a Pilot Project on IoT-Based Healthcare Services
Autor: Arum Park, Hyejung Chang, Kyoung Jun Lee
Publikováno v: Healthcare Informatics Research, Vol 24, Iss 4, Pp 387-393 (2018)
ObjectivesThis paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services
Externí odkaz: https://doaj.org/article/adac9250b7fa49b396293ff6b5428a97
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5
Akademický článek
Action Research on Development and Application of Internet of Things Services in Hospital
Autor: Arum Park, Hyejung Chang, Kyoung Jun Lee
Publikováno v: Healthcare Informatics Research, Vol 23, Iss 1, Pp 25-34 (2017)
ObjectivesServices based on the Internet of Things (IoT) technologies have emerged in various business environments. To enhance health service quality and maximize benefits, this study applied an IoT technology based on NFC and iBeacon as an omni-cha
Externí odkaz: https://doaj.org/article/037f26d818f4458ca7292b47abc7b512
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8
Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec
Autor: Kyoung Jun Lee, Soohong Min, Jungho Yoon, Jun Woo Kwon
Publikováno v: AAAI
In collaboration with Frontec, which produces parts such as bolts and nuts for the automobile industry, Kyung Hee University and Benple Inc. develop and deploy AI system for automatic quality inspection of weld nuts. Various constraints to consider e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d627224ecac7aff963d73c2a17fa1caa
https://doi.org/10.1609/aaai.v34i08.7020
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9
Deploying an Artificial Intelligence-Based Defect Finder for Manufacturing Quality Management
Autor: Kyoung Jun Lee, Jun Woo Kwon, Soohong Min, Jungho Yoon
Publikováno v: AI Magazine; Vol. 42 No. 2: Summer 2021; 5-18
This paper describes how the Big Data Research Center of Kyung Hee University and Benple Inc. developed and deployed an artificial intelligence system to automate the quality management process for Frontec, an SME company that manufactures automobile
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08bf79a172b0d3fa3623e062996adf7a
https://ojs.aaai.org/index.php/aimagazine/article/view/15094
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10
Extrapolative Collaborative Filtering Recommendation System with Word2Vec for Purchased Product for SMEs
Autor: Kyoung Jun Lee, Jiwoong Yoo, Baek Jeong, Yujeong Hwangbo, Kyung Yang Park
Publikováno v: Sustainability, Vol 13, Iss 7156, p 7156 (2021)
Sustainability
Volume 13
Issue 13
Many small and medium enterprises (SMEs) want to introduce recommendation services to boost sales, but they need to have sufficient amounts of data to introduce these recommendation services. This study proposes an extrapolative collaborative filteri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc3a658d293c42afd435f5391447988
https://www.mdpi.com/2071-1050/13/13/7156
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