JICS

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. Attack Detection in Recommender Systems Using a Rating Stream Trend Analysis

Yong-Uk Kim, Jun-Tae Kim, Vol. 12, No. 2, pp. 85-102, Apr. 2011
Keywords: Recommendation System, Recommendation Attack, data stream

10. Personalization of LBS using Recommender Systems Based on Collaborative Filtering

Hyeong-Joon Kwon, Kwang-Seok Hong, Vol. 11, No. 6, pp. 1-12, Dec. 2010