JICS

1. 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

2. 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

3. 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

4. Development of Customized Trip Navigation System Using Open Government Data

Beomsoo Shim, Hanjun Lee, Donghee Yoo, Vol. 17, No. 1, pp. 15-22, Feb. 2016

10.7472/jksii.2016.17.1.15
Keywords: open government data, Big data, application, Recommendation System, case-based reasoning(CBR), Data Mining

5. 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

6. 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