Digital Library

1. 1. Similarity Measurement for Memory-based Collaborative Filtering using Genre-based Singularity
   Soojung Lee, Vol. 26, No. 6, pp. 101-108, Dec. 2025
   10.7472/jksii.2025.26.6.101
   Keywords: Recommender System, Collaborative Filtering, Similarity Measure, data sparsity, singularity
2. 2. Semantic Jaccard Coefficient for Data Sparsity in Collaborative Filtering
   Soojung Lee, Vol. 26, No. 3, pp. 67-74, Jun. 2025
   10.7472/jksii.2025.26.3.67
   Keywords: Recommender System, Collaborative Filtering, Similarity Measure, data sparsity
3. 3. Optimal Similarity Calculation using Genetic Algorithms in Collaborative Filtering
   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
4. 4. Development of Product Recommendation System Using MultiSAGE Model and ESG Indicators
   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
5. 5. A Comparison Study of RNN, CNN, and GAN Models in Sequential Recommendation
   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
6. 6. 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
7. 7. 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
8. 8. The Technique of Reference-based Journal Recommendation Using Information of Digital Journal Subscriptions and Usage Logs
   Hae-sung Lee, Soon-young Kim, Jay-hoon Kim, Jeong-hwan Kim, Vol. 17, No. 5, pp. 75-88, Oct. 2016
   10.7472/jksii.2016.17.5.75
   Keywords: Recommender System, Recommendation, citation networks, personalized academic contents, log analysis, usage statics
9. 9. Clustering Algorithm using the DFP-Tree based on the MapReduce
   Young-Won Seo, Chang-soo Kim, Vol. 16, No. 6, pp. 23-30, Dec. 2015
   10.7472/jksii.2015.16.6.23
   Keywords: SData Mining, Frequent-Pattern tree, Clustering Algorithms, Distributed Processing System, Recommendation System, Map Reduce
10. 10. Method to Improve Data Sparsity Problem of Collaborative Filtering Using Latent Attribute Preference
    Hyeong-Joon Kwon, Kwang-Seok Hong, Vol. 14, No. 5, pp. 59-68, Oct. 2013
    10.7472/jksii.2013.14.5.59
    Keywords: Collaborative Filtering, Attribute Preference, Recommender System