| 1 | A new approach for combining content-based and collaborative filters Kim B.M.; Li Q.; Park C.S.; Kim S.G.; Kim J.Y., JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v.27, no.1, pp.79 - 91, 2006 |
| 2 | A probabilistic music recommender considering user opinions and audio features Li, Q; Myaeng, Sung Hyon; Kim, BM, INFORMATION PROCESSING & MANAGEMENT, v.43, pp.473 - 487, 2007-03 |
| 3 | Collaborative filtering based on iterative principal component analysis Kim, D; Yum, Bong-Jin, EXPERT SYSTEMS WITH APPLICATIONS, v.28, pp.823 - 830, 2005-05 |
| 4 | Constructing a personalized recommender system for life Insurance products with machine learning techniques Kong, Hyeongwoo; Yun, Wonje; Joo, Weonyoung; KIM, JUHYUN; Kim, Kyoung-Kuk; Moon, Il-Chul; Kim, Woo Chang, INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, v.29, no.4, pp.242 - 253, 2022-10 |
| 5 | CredibilityRank : credibility-based blogger news ranking system using users’ voting history = 사용자 추천 행동 신뢰도를 활용한 신뢰도 기반 블로거 뉴스 랭킹 시스템의 개발link Kim, Kang-Hak; 김강학; et al, 한국과학기술원, 2010 |
| 6 | Detection of the customer time-variant pattern for improving recommender systems Min, SH; Han, Ingoo, EXPERT SYSTEMS WITH APPLICATIONS, v.28, no.2, pp.189 - 199, 2005-02 |
| 7 | Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites Kim, YS; Yum, Bong-Jin; Song, J; Kim, SM, EXPERT SYSTEMS WITH APPLICATIONS, v.28, pp.381 - 393, 2005-02 |
| 8 | Improving research paper recommendation system using conceptual clustering algorithm = 개념 클러스터링을 이용한 논문 추천 시스템link Kim, Bo-Young; 김보영; et al, 한국과학기술원, 2011 |
| 9 | Improving research paper recommendation system using conceptual clustering algorithm = 개념 클러스터링을 이용한 논문 추천 시스템link Kim, Bo-Young; 김보영; et al, 한국과학기술원, 2011 |
| 10 | Improving the prediction performance of customer behavior through multiple imputation Noh, Hyun ju; Kwak, Min jung; Han, Ingoo, Intelligent Data Analysis, v.8, no.6, pp.563 - 577, 2004-12 |
| 11 | Mining changes in customer buying behavior for collaborative recommendations Cho, Yeong Bin; Cho, Yoon Ho; Kim, Soung Hie, EXPERT SYSTEMS WITH APPLICATIONS, v.28, no.2, pp.359 - 369, 2005-02 |
| 12 | Multiple metadata based collaborative filtering using random walk on a movie K-partite graph for movie recommendation = 영화 추천을 위한 영화 K분할 그래프의 랜덤 워크를 적용한 다중 메타데이터 기반 협업적 필터링 기법 연구link Seo, Eu-Gene; 서유진; et al, 한국과학기술원, 2011 |
| 13 | Multiple metadata based collaborative filtering using random walk on a movie K-partite graph for movie recommendation = 영화 추천을 위한 영화 K분할 그래프의 랜덤 워크를 적용한 다중 메타데이터 기반 협업적 필터링 기법 연구link Seo, Eu-Gene; 서유진; et al, 한국과학기술원, 2011 |
| 14 | The collaborative filtering recommendation based on SOM cluster-indexing CBR Roh, TH; Oh, KJ; Han, Ingoo, EXPERT SYSTEMS WITH APPLICATIONS, v.25, no.3, pp.413 - 423, 2003-10 |
| 15 | Unified Collaborative and Content-Based Web Service Recommendation Yao, Lina; Sheng, Quan Z; Ngu, Anee. H. H.; Yu, Jian; Segev, Aviv, IEEE TRANSACTIONS ON SERVICES COMPUTING, v.8, no.3, pp.453 - 466, 2015-05 |
