Digital Library
Search: "[ author: Hyon Hee Kim ]" (4)
Personalized Cross-Domain Recommendation of Books Based on Video Consumption Data
Yea Bin Lim, Hyon Hee Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 8, pp. 382-387,
Aug.
2024
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
User Playlist-Based Music Recommendation Using Music Metadata Embedding
Kyoung Min Nam, Yu Rim Park, Ji Young Jung, Do Hyun Kim, Hyon Hee Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 8, pp. 367-373,
Aug.
2024
https://doi.org/10.3745/TKIPS.2024.13.8.367
Keywords: meta data, KoBERT, SGNS, Song Embedding, Recommender System
https://doi.org/10.3745/TKIPS.2024.13.8.367
Keywords: meta data, KoBERT, SGNS, Song Embedding, Recommender System
Sentiment Analysis of News Based on Generative AI and Real Estate Price Prediction: Application of LSTM and VAR Models
Sua Kim, Mi Ju Kwon, Hyon Hee Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 5, pp. 209-216,
May.
2024
https://doi.org/10.3745/TKIPS.2024.13.5.209
Keywords: Generated AI, Prediction of Real Estate Price, News Sentiment Index, Multi-head Attention LSTM, Vetor Auto Regression
https://doi.org/10.3745/TKIPS.2024.13.5.209
Keywords: Generated AI, Prediction of Real Estate Price, News Sentiment Index, Multi-head Attention LSTM, Vetor Auto Regression
An XML-based Multimedia News Management System
Hyon Hee Kim , Seung Soo Park The KIPS Transactions:PartB ,
Vol. 11, No. 7, pp. 785-792,
Dec.
2004
10.3745/KIPSTB.2004.11.7.785
10.3745/KIPSTB.2004.11.7.785
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).