Digital Library
Search: "[ keyword: 추천 ]" (28)
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Soojung Lee, Vol. 25, No. 5, pp. 87-94, Oct. 2024
10.7472/jksii.2024.25.5.87
Keywords: Recommender System, Collaborative Filtering, Similarity Measure, genetic algorithm -
Hyeon-woo Kim, Yong-jun Kim, Gil-sang Yoo, Vol. 25, No. 1, pp. 69-78, Feb. 2024
10.7472/jksii.2024.25.1.69
Keywords: MultiSAGE, recommend system, ESG, GraphSAGE -
Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022
10.7472/jksii.2022.23.4.21
Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling -
4. A Study on Factors Affecting University Students' Satisfaction with YouTube AI Recommendation SystemLiuCun Zhu, Chao Wang, HaSung Hwang, Vol. 23, No. 3, pp. 77-85, Jun. 2022
10.7472/jksii.2022.23.3.77
Keywords: YouTube AI recommendation system, Satisfaction, TAM, Usefulness, preference suitability, privacy concerns -
Gyudong Park, Gi-Yoon Jeon, Mye Sohn, Jongmo Kim, Vol. 23, No. 1, pp. 125-134, Feb. 2022
10.7472/jksii.2022.23.1.125
Keywords: Command and Control(C2) system, Feature selection, Collaborative Filtering, Context-aware Recommendation System -
Yeonbin Son, Tai-Woo Chang, Yerim Choi, Vol. 20, No. 4, pp. 73-79, Aug. 2019
10.7472/jksii.2019.20.4.73
Keywords: journal recommendation, importance by decision factors, paper publication history, Machine Learning, Data Analysis -
Hyung-Woo Lee, Vol. 20, No. 1, pp. 57-65, Feb. 2019
10.7472/jksii.2019.20.1.57
Keywords: Catalog Entry Auto-Recommendation, Online B2B Shopping Mall, Supervised Machine Learning, Morphological Analysis, Naive Bayes Classification Algorithm. -
Yeonbin Son, Hyeontae An, Yerim Choi, Vol. 19, No. 4, pp. 27-33, Aug. 2018
10.7472/jksii.2018.19.4.27
Keywords: Manuscript proofreading, proofreader matching, topic modeling, importance of document -
Kwang Tek Na, Ju Hong Lee, Vol. 18, No. 3, pp. 19-28, Jun. 2017
10.7472/jksii.2017.18.3.19
Keywords: Collaborative Filtering, Recommender System, co occurrence, similarity, SVD, latent factor model -
Je-In Song, Ok-Ran Jeong, Vol. 17, No. 6, pp. 133-142, Dec. 2016
10.7472/jksii.2016.17.6.133
Keywords: Recommendation, tagging, Context Information, Web Service, Web resource