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Jung-Hyun Lee

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2008
20EEJong-Hun Kim, Chang-Woo Song, Kyung-Yong Chung, Un-Gu Kang, Kee-Wook Rim, Jung-Hyun Lee: Context Model Based CF Using HMM for Improved Recommendation. PAKM 2008: 268-279
2007
19EEKyung-Yong Jung, Jong-Hun Kim, Jung-Hyun Lee, Young-Joo Na: Development of Educational Program for Quick Response System on Textile and Fashion E-Business. HCI (2) 2007: 1138-1146
18EEJong-Hun Kim, Un-Gu Kang, Kee-Wook Rim, Jung-Hyun Lee: Speech Recognition System Using DHMMs Based on Ubiquitous Environment. SEUS 2007: 213-222
2006
17EEJong-Hun Kim, Un-Gu Kang, Jung-Hyun Lee: Content-Based Filtering for Music Recommendation Based on Ubiquitous Computing. Intelligent Information Processing 2006: 463-472
16EEJong-Hun Kim, Chang-Woo Song, Kee-Wook Lim, Jung-Hyun Lee: Design of Music Recommendation System Using Context Information. PRIMA 2006: 708-713
15EEJong-Hun Kim, Kyung-Yong Jung, Jung-Hyun Lee: Hybrid Music Filtering for Recommendation Based Ubiquitous Computing Environment. RSCTC 2006: 796-805
2004
14EEKyung-Yong Jung, Dong-Hyun Park, Jung-Hyun Lee: Personalized Movie Recommender System through Hybrid 2-Way Filtering with Extracted Information. FQAS 2004: 473-486
13EEKyung-Yong Jung, Young-Joo Na, Dong-Hyun Park, Jung-Hyun Lee: Discovery Knowledge of User Preferences: Ontologies in Fashion Design Recommender Agent System. ICCSA (2) 2004: 863-872
12EEKyung-Yong Jung, Dong-Hyun Park, Jung-Hyun Lee: Hybrid Collaborative Filtering and Content-Based Filtering for Improved Recommender System. International Conference on Computational Science 2004: 295-302
11EEKyung-Yong Jung, Kee-Wook Rim, Jung-Hyun Lee: Automatic Preference Mining through Learning User Profile with Extracted Information. SSPR/SPR 2004: 815-823
2003
10EEKyung-Yong Jung, Young-Joo Na, Jung-Hyun Lee: FDRAS: Fashion Design Recommender Agent System Using the Extraction of Representative Sensibility and the Two-Way Combined Filtering on Textile. DEXA 2003: 631-640
9EEKyung-Yong Jung, Jason J. Jung, Jung-Hyun Lee: Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering. Discovery Science 2003: 320-327
8EEKyung-Yong Jung, Young-Joo Na, Jung-Hyun Lee: Creating User-Adapted Design Recommender System through Collaborative Filtering and Content Based Filtering. EPIA 2003: 204-208
7EEKyung-Yong Jung, Jun Hyeog Choi, Kee-Wook Rim, Jung-Hyun Lee: Development of Design Recommender System Using Collaborative Filtering. ICADL 2003: 100-110
6EESu-Jeong Ko, Jun Hyeog Choi, Jung-Hyun Lee: Bayesian Web Document Classification through Optimizing Association Word. IEA/AIE 2003: 565-574
2002
5EEKyung-Yong Jung, Jung-Hyun Lee: Prediction of User Preference in Recommendation System Using Associative User Clustering and Bayesian Estimated Value. Australian Joint Conference on Artificial Intelligence 2002: 284-296
4EESu-Jeong Ko, Jung-Hyun Lee: Optimization of Association Word Knowledge Base through Genetic Algorithm. DaWaK 2002: 212-221
3EESu-Jeong Ko, Jung-Hyun Lee: User Preference Mining through Collaborative Filtering and Content Based Filtering in Recommender System. EC-Web 2002: 244-253
2 Kyung-Yong Jung, Joong-Kyung Ryu, Jung-Hyun Lee: A New Collaborative Filtering Method Using Representative Attributes-neighborhood and Bayesian Estimated Value. IC-AI 2002: 709-715
2001
1EESu-Jeong Ko, Jung-Hyun Lee: Feature Selection Using Association Word Mining for Classification. DEXA 2001: 211-220

Coauthor Index

1Jun Hyeog Choi [6] [7]
2Kyung-Yong Chung [20]
3Jason J. Jung [9]
4Kyung-Yong Jung [2] [5] [7] [8] [9] [10] [11] [12] [13] [14] [15] [19]
5Un-Gu Kang [17] [18] [20]
6Jong-Hun Kim [15] [16] [17] [18] [19] [20]
7Su-Jeong Ko [1] [3] [4] [6]
8Kee-Wook Lim [16]
9Young-Joo Na [8] [10] [13] [19]
10Dong-Hyun Park [12] [13] [14]
11Kee-Wook Rim [7] [11] [18] [20]
12Joong-Kyung Ryu [2]
13Chang-Woo Song [16] [20]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)