1 |
Mukund, D., George, K., "Item-Based Top-N Recommendation Algorithms", ACM Transactions on Information System, Vol.22, No.1(2004), 143-177.
DOI
ScienceOn
|
2 |
김종우, 김주완, 윤병대, 이슬기, 강상길, "Ontology와 Clustering을 이용한 IPTV의 개인화된 프로그램 추천 시스템", 한국 소프트웨어공학 학술대회, 12권 1호(2010), 486-492.
|
3 |
박성준, 홍종규, 강상길, 김영국, "개인화된 방송 컨텐츠 추천을 위한 가중치 적용 Markov모델", 한국정보과학회, 12권 5호(2006), 326-338.
과학기술학회마을
|
4 |
Y. Blanco-Fernandez, J. J. Pazos-Arias, A. Gil-Solla, M. Ramos-Cabrer, and M. Lopez-Nores, "Providing entertainment by content-based filtering and semantic reasoning in intelligent recommender systems", IEEE Transactions on Consumer Electronics, Vol.54, No.2(2008), 727-735.
|
5 |
Tsinaraki, C., Polydoros, P., Kazasis, F., Christodoulakis, S., "Ontology-based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content", Special issue of Multimedia Tools and Applications Journal on Video Segmentation for Semantic Annotation and Transcoding, 2004.
|
6 |
WorNet, http:/wornet.princetion.edu/
|
7 |
Billsus, D. and Pazzani, M. J., A Hybrid User Modelfor News Classification. In Kay J. (ed.), Proceedings of the Seventh International ConferenceonUserModeling( UM '99), Springer- Verlag, 1999, 99-108.
|
8 |
"OWL Web Ontology Language : Overview", W3C Recommendation, D. L. McGuinness and vanHarmelen, F., eds., http://www.w3.org/TR/owlfeatures owlfeatures, Feb. 2004.
|
9 |
Benjamin, A., Leo, S., and R. Thomas, "ConTag : A Semantic Tag Recommendation System", I-SEMANTICS '07 Papers, (2007), 297-304.
|
10 |
Aggrawall, R., Imielinski, T., Swami, A., "Mining association rules between sets of items in large databases", Proc. ACM SIGMOD Int'l Conference on Management of Data, 1994.
|
11 |
R. O., Duda, P.E. Hart, D. G. Stork, "Pattern classification 2nd", Wileyinterscience, 2001.
|
12 |
Y. S., Kim, S. Mitra, "Inegrated Adaptive Fuzzy clustering (IAFC) Algorithm", Proc. of the Second IEEE International Conference on Fuzzy Systems, Vol.2(1993), 1264-1268.
|
13 |
Goldberg, D., Nichols, D., Oki, B., Terry, D., "Using collaborative filtering to weave an information tapestry", In Communications of the ACM, Vol.35, No.12(1992), 61-70.
DOI
|
14 |
Yu, K., Schwaighofer, A., Tresp, V., Xu, X., and Kriegel, H. P., "Probabilistic Memory-Based Collaborative Filtering", IEEE Transaction on Knowledge and Data Engineering, Vol.16, No.1(2004), 56-69.
DOI
ScienceOn
|
15 |
Sarwar, B., Karypis, G., Konstan, J., and Riedl, J., "Item-based Collaborative Filtering Recommendation Algorithms", In Proc. of the 10th International World Wide Web Conference, Hong Kong, 2001.
|
16 |
Adomavicius, G., Tuzhilin, A., "Expert-Driven Validation of Rule-Based User Models in Personalization Applications", Journal of Data Mining and Knowledge Discovery, Vol. 5, No.1/2(2004), 33-58.
|
17 |
Krulwich, B., "Lifestyle Finder : Intelligent User Profiling Using Large-Scale Demographic Data", Artificial Intelligent Magazine Vol.18, No.2(1997), 37-45.
|
18 |
Kaufman, L. and Rousseeuw, P. J., "Finding Groups in Data : An Introduction to Cluster Analysis", Wiley, New York, 1990
|
19 |
Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L., and Riedl, J., "GroupLens : Applying Collaborative Filtering to Usenet News", Communications of the ACM, Vol.40, No.3 (1997), pp.77-87
DOI
ScienceOn
|
20 |
Balabanovic, M. and Shohm, Y., "Fab : Content- Based, Collaborative Recommendation", Communications of the ACM, Vol.40, No.3(1997), 66-72
DOI
ScienceOn
|