Digital Library

1. 1. The Impact of TikTok's ‘For You' Recommendation System on the Attitudes and Continuous Usage Intentions of Elderly Users
   Hanyu Song, Seunghye Sohn, Vol. 26, No. 2, pp. 97-108, Apr. 2025
   10.7472/jksii.2025.26.2.97
   Keywords: Technology Acceptance Model (TAM), 'For You' recommendation, TikTok, Personalized Recommendation, continuous usage intention
2. 2. Design of a Recommendation System for Improving Deep Neural Network Performance
   Juhyoung Sung, Kiwon Kwon, Byoungchul Song, Vol. 25, No. 1, pp. 49-56, Feb. 2024
   10.7472/jksii.2024.25.1.49
   Keywords: Collaborative Filtering, deep neural network, matrix factorization, Recommendation System, Singular Value Decomposition
3. 3. A Study on Factors Affecting University Students' Satisfaction with YouTube AI Recommendation System
   LiuCun 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
4. 4. A Study of Recommendation Systems for Supporting Command and Control (C2) Workflow
   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
5. 5. Leveraging Big Data for Spark Deep Learning to Predict Rating
   Monika Mishra, Mingoo Kang, Jongwook Woo, Vol. 21, No. 6, pp. 33-39, Dec. 2020
   10.7472/jksii.2020.21.6.33
   Keywords: Big data, Deep Learning, Spark, Analytics Zoo, Amazon EMR, Machine Learning, Recommendation
6. 6. The Effects of Online Uncivil Comments on Vicarious shame and Coping Strategies: Focusing on the Power of Social Identity and Social Recommendation
   Jiwon Kim, Vol. 21, No. 1, pp. 119-125, Feb. 2020
   10.7472/jksii.2020.21.1.119
   Keywords: Online Comment, Incivility, Social Recommendation, Shame, Coping Strategies
7. 7. Dessert Ateliers Recommendation Methods for Dessert E-commerce Services
   Yeonbin Son, Tai-Woo Chang, Yerim Choi, Vol. 21, No. 1, pp. 111-117, Feb. 2020
   10.7472/jksii.2020.21.1.111
   Keywords: dessert atelier, dessert e-commerce, dessert atelier recommendation, clustering, dynamic weighting
8. 8. Development of Journal Recommendation Method Considering Importance of Decision Factors Based on Researchers' Paper Publication History
   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
9. 9. Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System
   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.
10. 10. A Social Travel Recommendation System using Item-based collaborative filtering
    Dae-ho Kim, Je-in Song, So-yeop Yoo, Ok-ran Jeong, Vol. 19, No. 3, pp. 7-14, Jun. 2018
    10.7472/jksii.2018.19.3.7
    Keywords: Personalized Recommendation, Item-based Collaborative Filtering, Apache Mahout, Social Travel Trends, Intimacy