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Heung-Nam Kim (Selection)

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37Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHeung-Nam Kim, Ae-Ttie Ji, Inay Ha, GeunSik Jo: Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation. Electronic Commerce Research and Applications 9(1): 73-83 (2010)
33Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHeung-Nam Kim, Ae-Ttie Ji, Hyun-Jun Kim, GeunSik Jo: Error-Based Collaborative Filtering Algorithm for Top-N Recommendation. APWeb/WAIM 2007: 594-605
32Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAe-Ttie Ji, Cheol Yeon, Heung-Nam Kim, GeunSik Jo: Collaborative Tagging in Recommender Systems. Australian Conference on Artificial Intelligence 2007: 377-386
31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAe-Ttie Ji, Cheol Yeon, Heung-Nam Kim, GeunSik Jo: Distributed Collaborative Filtering for Robust Recommendations Against Shilling Attacks. Canadian Conference on AI 2007: 14-25
27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHeung-Nam Kim, Ae-Ttie Ji, Soon-Geun Lee, GeunSik Jo: Semantic Web Approach in Designing a Collaborative E-Item Bank System. SOFSEM (1) 2007: 693-704
26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHeung-Nam Kim, Ae-Ttie Ji, Cheol Yeon, GeunSik Jo: A User-Item Predictive Model for Collaborative Filtering Recommendation. User Modeling 2007: 324-328
23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHeung-Nam Kim, Ae-Ttie Ji, GeunSik Jo: Enhanced Prediction Algorithm for Item-Based Collaborative Filtering Recommendation. EC-Web 2006: 41-50

Selection of 7 from 52 records - Heung-Nam Kim has 66 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page