::::: J I I S - Korea Intelligent Information System Society :::::

Welcome to JIISOnline.org

The Journal of Intelligence and Information Systems (ISSN: 2288-
4866(Print), ISSN: 2288-4882(Online)) is the official academic journal
of the Korea Intelligent Information Systems Society (KIISS).
It endeavors to share the most state-of-the-art research in the field of
intelligent IT and its applications to business domain.

The subjects covered by the journal include all topics related to
a) business applications of intelligent IT;
b) Intelligent IT;
c) Management of Intelligent IT.
All submitted manuscripts will be peer-reviewed, and the articles
will be published shortly after acceptance.

JIIS is indexed and abstracted in :

Current Issue : Vol. 25, No. 1 (Mar. 2019)

1. A Study on the Development Trend of Artificial Intelligence Using Text Mining Technique: Focused on Open Source Software Projects on Github

JiSeon Chong, Dongsung Kim, Hong Joo Lee, and Jong Woo Kim

Vol. 25, No. 1, Page: 1 ~ 19 | 10.13088/jiis.2019.25.1.001

2. An Analytical Approach Using Topic Mining for Improving the Service Quality of Hotels

Hyun Sil Moon, David Sung, and Jae Kyeong Kim

Vol. 25, No. 1, Page: 21 ~ 41 | 10.13088/jiis.2019.25.1.021

3. Knowledge Extraction Methodology and Framework from Wikipedia Articles for Construction of Knowledge-Base

JaeHun Kim, and Myungjin Lee

Vol. 25, No. 1, Page: 43 ~ 61 | 10.13088/jiis.2019.25.1.043

4. Development of a Stock Trading System Using M & W Wave Patterns and Genetic Algorithms

Hoonseok Yang, Sungwoong Kim, and Heung Sik Choi

Vol. 25, No. 1, Page: 63 ~ 83 | 10.13088/jiis.2019.25.1.063

5. Analysis of shopping website visit types and shopping pattern

Kyungbin Choi, and Kihwan Nam

Vol. 25, No. 1, Page: 85 ~ 107 | 10.13088/jiis.2019.25.1.085

6. Color-related Query Processing for Intelligent E-Commerce Search

Jung A Hong, Kyo Jung Koo, Ji Won Cha, Ah Jeong Seo, Un Yeong Yeo, and Jong Woo Kim

Vol. 25, No. 1, Page: 109 ~ 125 | 10.13088/jiis.2019.25.1.109

7. A Recidivism Prediction Model Based on XGBoost Considering Asymmetric Error Costs

Ha-Ram Won, Jae-Seung Shim, and Hyunchul Ahn

Vol. 25, No. 1, Page: 127 ~ 137 | 10.13088/jiis.2019.25.1.127

8. A Study on Improvement of Collaborative Filtering Based on Implicit User Feedback Using RFM Multidimensional Analysis

Jae-Seong Lee, Jaeyoung Kim, and Byeongwook Kang

Vol. 25, No. 1, Page: 139 ~ 161 | 10.13088/jiis.2019.25.1.139

9. A Deep Learning Based Approach to Recognizing Accompanying Status of Smartphone Users Using Multimodal Data

Kilho Kim, Sangwoo Choi, Moon-jung Chae, Heewoong Park, Jaehong Lee, and Jonghun Park

Vol. 25, No. 1, Page: 163 ~ 177 | 10.13088/jiis.2019.25.1.163

10. Development of Beauty Experience Pattern Map Based on Consumer Emotions: Focusing on Cosmetics

Bong-Goon Seo, Keon-Woo Kim, and Do-Hyung Park

Vol. 25, No. 1, Page: 179 ~ 196 | 10.13088/jiis.2019.25.1.179

11. Word-of-Mouth Effect for Online Sales of K-Beauty Products: Centered on China SINA Weibo and Meipai

Meina Liu, and Gyoo Gun Lim

Vol. 25, No. 1, Page: 197 ~ 218 | 10.13088/jiis.2019.25.1.197

12. How to improve the accuracy of recommendation systems: Combining ratings and review texts sentiment scores

Jiyeon Hyun, Sangyi Ryu, and Lee Sang-Yong Tom

Vol. 25, No. 1, Page: 219 ~ 239 | 10.13088/jiis.2019.25.1.219

Correspondence

If you have any questions, please send them to Manuscript Editor(journal@kiiss.or.kr) or Manager(E-mail. office@kiiss.or.kr, Tel. +82-2-3295-0997, Office. Ewha-Shinsegae Hall Rm. B105, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea).