• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: 추천 ]" (27)
  1. 1. 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
  2. 2. 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
  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
  5. 5. Development of Journal Recommendation Method Considering Importance of Decision Factors Based on Researchers' Paper Publication History
  6. 6. Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System
  7. 7. A Proofreader Matching Method Based on Topic Modeling Using the Importance of Documents
    Yeonbin Son, Hyeontae An, Yerim Choi, Vol. 19, No. 4, pp. 27-33, Aug. 2018
    10.7472/jksii.2018.19.4.27
    Keywords: Manuscript proofreading, proofreader matching, topic modeling, importance of document
  8. 8. Collaborative Filtering using Co-Occurrence and Similarity information
    Kwang Tek Na, Ju Hong Lee, Vol. 18, No. 3, pp. 19-28, Jun. 2017
    10.7472/jksii.2017.18.3.19
    Keywords: Collaborative Filtering, Recommender System, co occurrence, similarity, SVD, latent factor model
  9. 9. Tag Based Web Resource Recommendation System
    Je-In Song, Ok-Ran Jeong, Vol. 17, No. 6, pp. 133-142, Dec. 2016
    10.7472/jksii.2016.17.6.133
    Keywords: Recommendation, tagging, Context Information, Web Service, Web resource
  10. 10. The Technique of Reference-based Journal Recommendation Using Information of Digital Journal Subscriptions and Usage Logs