최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.19 no.1, 2013년, pp.57 - 77
유띳로따낙 (인하대학교 IT 공과대학 컴퓨터정보공학과) , 누르지드 (인하대학교 IT 공과대학 컴퓨터정보공학과) , 하인애 (인하대학교 IT 공과대학 컴퓨터정보공학과) , 조근식 (인하대학교 IT 공과대학 컴퓨터정보공학부)
Social media has become one of the most popular media in web and mobile application. In 2011, social networks and blogs are still the top destination of online users, according to a study from Nielsen Company. In their studies, nearly 4 in 5active users visit social network and blog. Social Networks...
Aart, C. V., L. Y. Raimond, D. Brickley, G. Schreiber, M. Minno, L. Miller, D. Palmisano, M. Mostarda, R. Siebes, and V. Buser, "The No Tube Beancounter : aggregating user data for television programme recommendation", in Proceedings of the Linked Data on the Web Workshop (LDOW 2009), Madrid, Spain, 2009.
Adomavicius, G. and A. Tuzhilin, "Toward the next generation of recommender system : A survey of the state-of-the-art and possible extensions", IEEE Trans. Knowl. Data Eng., Vol.17, No.6(2005), 734-749.
Aimeur, E., G. Brassard, J. M. Fernandez, and F. S. Onana, "Privacy-preserving demographic filtering", In Proceedings of the 2006 ACM symposium on Applied computing, (2006), 872-878.
Bertini, M., A. D. Bimbo, A. Ferracani, and D. Pezzatini, "A Social Network for Video Annotation and Discovery Based on Semantic Profiling", in Proceedings of the 21st international conference companion on World Wide Web, Lyon, France, 2012.
Chikhaoui, B., M. Chiazzaro, and Wang, S., "An Improved Hybrid Recommender System by Combining Predictions", In Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference, (2011), 644-649.
Choi, S. M. and Y. S. Han, "A content recommendation system based on category correlations", In The fifth international multi-conference on computing in the global information technology, (2010), 1257-1260.
Choi, S. M., S. K. Ko, and Y. S. Han, "A movie recommendation algorithm based on genre correlations", Expert Systems with Applications,2012.
Gunawardana, A. and C. Meek, "A unified approach to building hybrid recommender systems", In of the third ACM conference on Recommender systems, (2009), 117-124.
Hameed, M. A., O. Al Jadaan, and S. Ramachandram, "Collaborative Filtering Based Recommendation System : A survey", International Journal on Computer Science and Engineering, Vol.4, No.5(2012), 859-876.
Herlocker, J. L., J. A. Konstan, A. Borchers, and J. Riedl, "An algorithmic framework for performing collaborative filtering", in Proceedings of the SIGIR conference, New York, NY, USA : ACM, (1999), 230-237.
Herlocker, J. L., J. A. Konstan, L. G. Terveen, and J. T. Riedl, "Evaluating collaborative filtering recommender systems", ACM Transactions on Information Systems (TOIS), Vol. 22, No.1(2004), 5-53.
Herlocker, J. L., J. A. Konstan, and J. Riedl, "Explaining collaborative filtering recommendations", In of the 2000 ACM conference on Computer supported cooperative work, (2000), 241-250.
Hill, W., L. Stead, M. Rosenstein, and G. Furnas, "Recommending and evaluating choices in a virtual community of use", Proceedings of the ACM CHI ' 95 Conference on Human Factors in Computing Systems, (1995), 194-201.
Jin, X., C. Wang, J. Luo, X. Yu, and J. Han, "Likeminer : A system for mining the power of 'like' in social media networks", In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD, 2011.
Jung, J. J., "Attribute selection-based recommendation framework for long-tail user group : An empirical study on movie lens dataset", Expert Systems with Application, 2011.
Kim, K. R. and N. Moon, "Recommender system design using movie genre similarity and preferred genres in SmartPhone", Multimedia Tools and Applications, (2012), 1-18.
Lam, X. N., T. Vu, T. D. Le, and Duong, A. D., "Addressing cold-start problem in recommendation systems", In of the 2nd international conference on Ubiquitous information management and communication, (2008), 208-211.
Lekakos, G. and G. M. Giaglis, "Improving the prediction accuracy of recommendation algorithms : Approaches anchored on human factors", Interacting with computers, Vol.18, No.3 (2006), 410-431.
Li, Q. and B. M. Kim, "Clustering approach for hybrid recommender system", In Intelligence, 2003, Proceedings, IEEE/WIC International Conference, (2003), 33-38.
Melville, P., R. J. Mooney, and R. Nagarajan, "Content-boosted collaborative filtering for improved recommendations", In of the National Conference on Artificial Intelligence, Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; (1999), 187-192.
Miller, B. N., J. A. Konstan, and J. Riedl, "Pocket Lens : Toward a personal recommender system", ACM Transactions on Information Systems (TOIS), Vol.22, No.3(2004), 437-476.
Park, J. H. K. and Y. H. Cho, "Social Network Analysis for the Effective Adoption of Recommender System", Journal of Intelligence and Information Systems, Vol.17, No.4(2011), 305-316.
Resnick, P. and H. R. Varian, "Recommender systems", Communications of the ACM, Vol.40, No.3(1997), 56-58.
Resnick, P., N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl, "Grouplens : an open architecture for collaborative filtering of netnews", In : Proceedings of the ACM Conference on Computer Supported Cooperative Work, (1994), 175-186.
Sean, V., K. J. Oh, and G. S. Jo, "A User Profilebased Filtering Method for Information Search in Smart TV Environment", Journal of Intelligence and Information Systems, Vol.18, No.3 (2012), 91-117.
Schein, A. I., A. Popescul, L. H. Ungar, and D. M. Pennock, "Methods and metrics for cold start recommendations", In of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, (2002), 253-260.
Shardanand, U. and P. Maes, "Social information filtering : algorithms for automating word of mouth", In : Proceedings of the ACM CHI'95 Conference on Human Factors in Computing Systems, Denver, Colorado, (1995), 210-217.
Sun, D., C. Li, and Luo, Z., "A content-enhanced approach for cold-start problem in collaborative filtering", In Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on IEEE, (2011), 4501-4504.
Sun, D., Z. Luo, and Zhang, F., "A novel approach for collaborative filtering to alleviate the new item cold-start problem", In Communications and Information Technologies (ISCIT), 2011 11th International Symposium on, (2011), 402-406.
Wang, Z., M. Zhang, Y. Tan, W. Wang, Y. Zhang, and L. Chen, "Recommendation Algorithm Based on Graph-Model Considering User Background Information", 2011 Ninth International Conference on Creating, Connecting and Collaborating through Computing, (2011), 32-39.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.