References
- J. E. Tae, K. H. Jung & H. J. Song. (2016). A study of Convergence Relationship between Post-Modern aspects and storytelling from Imaging Content Production. Journal of the Korea Convergence Society, 7(6), 177-184. https://doi.org/10.15207/JKCS.2016.7.6.177
- G. J. Moon. (2018). The Scenery of the Urban Residence Represented in Korean Films of the Liberation Period. Journal of the Korea Convergence Society, 9(4), 119-125. https://doi.org/10.15207/JKCS.2018.9.4.119
- S. H. Lee. (2019). A Longitudinal Study on the Supply & Demand-side Diversity of Digital Media : TV Channel & VOD Data of 2012-2017. Journal of the Korea Convergence Society, 10(8), 137-144. https://doi.org/10.15207/JKCS.2019.10.8.137
- J. E. Son, S. B. Kim, H. J. Kim & S. Z. Cho. (2015). Review and Analysis of Recommender System. Journal of The Korean Institute Of Industrial Engineers, 41(2), 185-208. https://doi.org/10.7232/JKIIE.2015.41.2.185
- N. Beagrie. (2008). Digital curation for science, digital libraries, and individuals. International Journal of Digital Curation, 1(1), 3-16. https://doi.org/10.2218/ijdc.v1i1.2
- L. Madden. (2007). Digital curation at the Library of Congress: Lessons learned from American Memory and the archive ingest and handling test. DigCCurr2007, April 18-20, 2007, Chapel Hill, NC.
- E. Yakel. (2007). Digital curation. OCLC Systems & Services: International digital library perspectives.
- D. Kasch. (2013). Social media selves: College students' curation of self and others through Facebook (Doctoral dissertation, UCLA).
- S. S. Lee & I. S. Song. (2005). A Study on Metadata of Technology Trends Information Based on NewsML. JOURNAL OF THE KOREAN SOCIETY FOR LIBRARY AND INFORMATION SCIENCE, 39(3), 183-205. https://doi.org/10.4275/KSLIS.2005.39.3.183
- S. R. Yoo. (2010). A Diagnostic Analysis of Metadata R&D Status in Korea. JOURNAL OF THE KOREAN SOCIETY FOR LIBRARY AND INFORMATION SCIENCE, 44(2), 405-426. https://doi.org/10.4275/KSLIS.2010.44.2.405
- B. J. Jeon. (2011). A Study on the Applying Metadata Standards in Cadastral Information for increasing its Utilization. Journal of the Korean Cadastre Information Association, 13(1), 81-92.
- M. H. Lee, W. G. Lee, H. M. Yoon, S. H. Shin & J. C. Ryou. (2011). Comparison and Analysis of Science and Technology. Journal Metadata. JOURNAL OF THE KOREA CONTENTS ASSOCIATION, 11(9), 515-523. https://doi.org/10.5392/JKCA.2011.11.9.515
- T. W. Nam & S. M. Lee. (2010). Study on the Semantic Extension of the Concept of Metadata. JOURNAL OF THE KOREAN SOCIETY FOR LIBRARY AND INFORMATION SCIENCE 44(4), 373-393. https://doi.org/10.4275/KSLIS.2010.44.4.373
- Priscilla Caplan. (2003). Metadata Fundamentals for All Librarians. Chicago : AMERICAN LIBRARY ASSOCIATION.
- Y. Kim & S. B. Moon. (2006). A Study on Hybrid Recommendation System Based on Usage Frequency for Multimedia Contents. Journal of the Korean Society for Information Management, 23(3), 91-125. https://doi.org/10.3743/KOSIM.2006.23.3.091
- S. H. Ann & C. K. Shi. (2008). Movie Recommendation System Based on Cultural Metadata. Korea Information Science Society Journal, 35(1A), 78-79.
- J. H. Park & Y. H. Cho. (2011). Social Network Analysis for the Effective Adoption of Recommender Systems. Journal of Intelligence and Information systems, 17(4), 305-316. https://doi.org/10.13088/JIIS.2011.17.4.305
- H. G. Choi & E. J. Hwang. (2012). Emotion-based Music Recommendation System based on Twitter Document Analysis. Journal of KIISE : Computing Practies and Letters, 18(11), 732-767.
- M. D. Hong, K. J. Oh, M. H. Ga & G. S. Jo. (2013). Content based Recommendation Based on Social Network for Personalized News Services. Journal of Intelligence and Information systems, 19(3), 57-71. https://doi.org/10.13088/jiis.2013.19.3.057
- J. Y. Kim & S. W. Lee. (2013). The Ontology Based, The Movie Contents Recommendation Scheme, Using Relations of Movie Metadata. Journal of Intelligence and Information systems, 19(3), 25-44. https://doi.org/10.13088/jiis.2013.19.3.025
- M. J. Kim & Y. H. Cho. (2015). A Multimodal Profile Ensemble Approach to Development of Recommender System Using Big Data. Journal of Intelligence and Information systems, 21(4), 93-110. https://doi.org/10.13088/jiis.2015.21.4.093
- S. I. Choi, Y. J. Hyun & N. G. Kim. (2015). Improving Performance of Recommendation Systems Using Topic Modeling. Journal of Intelligence and Information systems, 21(3), 101-116. https://doi.org/10.13088/jiis.2015.21.3.101
- H. L. Jin, H. S. Kim, K. J. Chung & Y. A. Kang. (2019). A Proposal to improve movie curation service through categorizing WATCHA users. Journal of The HCI Society of Korea, 2, 587-591.
- W. S. Koo, B. W. Oh & K. J. Han. (1995). A Study on a VOD System based on UNIX Server and PC Clients. Proceedings of The Korean Institute of Information Scientists and Engineers, 22(2A), 213-216.
- S. W. Yang, B. N. R. Bae & Y. M. Ro. (2003). Study of Mobile Environment - Based Video Selection and Summary Service System. Proceedings of The Korean Institute of Information Scientists and Engineers, 30(2 II), 460-462.
- M. H. Kim, J. H. Nam & J. W. Hong. (2006). Lossless Video Watermarking for effective digital content management with UCI. Proceedings of The Korean Institute of Information Scientists and Engineers, 33(2C), 544-547.
- S. A. Mok, C. H. Kim & J. K. Paik. (2008). Media Production Environment Using Metadata based on Advanced Authoring Format. JOURNAL OF BROADCAST ENGINEERING 13(2), 274-282. https://doi.org/10.5909/JBE.2008.13.2.274
- S. K. Ko, S. M. Choi & Y. S. Han. (2010). Movie Recommendation Technique based on Periodical Genre Correlations. Proceedings of Korea Multimedia Society, 109-111.
- Y. H. Lim, C. H. Kim & J. K. Paik. (2011). Efficient Film Post Production Process using Metadata on the eXtensible Markup Language. JOURNAL OF BROADCAST ENGINEERING 16(3), 439-447. https://doi.org/10.5909/JEB.2011.16.3.439
- J. S. Lee, S. J. Jang & S. P. Lee. (2011). Design and Implementation of content information enrichment service in the IPTV environment. Proceedings of The Korean Society Of Broad Engineers, 424-427.
- B. H. Kim & B. T. Zhang. (2014). Movie Recommendation Using Co-Clustering by Infinite Relational Models. Journal of Korean Institute of Intelligent Systems, 24(4), 443-449. https://doi.org/10.5391/JKIIS.2014.24.4.443
- Y. Jin, J. S. Kim & J. W. Kim. (2014). Product Community Analysis Using Opinion Mining and Network Analysis - Movie Performance Prediction Case -. Journal of Intelligence and Information Systems, 20(1), 49-65. https://doi.org/10.13088/jiis.2014.20.1.049
- H. B. Bang, H. W. Lee & J. H. Lee. (2015). A Content-based TV Program Recommendation System Using Age and Plots. Proceedings of the Korean Society of Computer Information Conference, 23(1), 51-54.
- S. U. Kang, S. H. Park & G. G. Lim. (2016). The Improved UCI Identifier Syntax for Convergence Digital Contents. Journal of the Institute of Electronics and Information Engineers, 53(9), 82-88. https://doi.org/10.5573/IEIE.2016.53.9.082
- J. W. Ok, H. J. Kim, D. H. Cho, H. S. Ju, H. C. Lee, Theresia Saputri & S. W. Lee. (2017). Predicting The Number of Audience and Breakeven Point Attainment based on Movie Metadata. Proceedings of The Korean Institute of Information Scientists and Engineers, 1932-1934.
- D. H. Cho, H. J. Kim, J. W. Ok, H. S. Ju, S. W. Lee. & Y. J. Choi. (2018). Web Service Implementation for Predicting the Number of Audience and BEP of Movie Based on Metadata. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 920-921.