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NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.26 no.2, 2020년, pp.43 - 56
강소영 (경희대학교 대학원 경영학과) , 김재경 (경희대학교 경영학과) , 최일영 (경희대학교 경영대학원) , 강창동 (경희대학교 대학원 경영학과)
Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, the...
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Abdollahi, B. and O. Nasraoui, "Explainable Matrix Factorization for Collaborative Filtering", In Proceedings of the 25th International Conference Companion on World Wide Web, (2016), 5-6.
Ahn, H. C., I. G. Han and K. J. Kim, "The Product Recommender System Combining Association Rules and Classification Models:The Case of G Internet Shopping Mall", Information Systems Review, Vol.8, No.1 (2006), 181-201.
Bellini, V., A. Schiavone, T. Di Noia, A. Ragone and E. Di Sciascio, "Knowledge-Aware Autoencoders for Explainable Recommender Systems", In Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, (2018), 24-31.
Bennett, J. and S. Lanning, "The Netflix Prize", In Proceedings of KDD cup and workshop, Vol.2007, (2007), 35.
Cho, Y. B., Y. H. Cho and S. H. Kim, "Mining Changes in Customer Buying Behavior for Collaborative Recommendations", Expert Systems with Applications, Vol.28, No.2 (2005), 359-369.
Cho, Y. H., and J. K. Kim, "Application of Web Usage Mining and Product Taxonomy to Collaborative Recommendations in E-commerce", Expert systems with Applications, Vol.26, No.2 (2004), 233-246.
Cho, Y. H., J. K. Kim and S. H. Kim, "A Personalized Recommender System based on Web Usage Mining and Decision Tree Induction", Expert systems with Applications, Vol.23, No.3 (2002), 329-342.
Cho, Y. H., J. K. Kim, D. H. Ahn and H. A. Lee, "An Explanation based Recommender System using Collaborative Filtering: WebCF-Exp", Korean management Review, Vol.35, No.2 (2006), 493-519.
Choi, S., Y. Hyun and N. Kim, "Improving Performance of Recommendation Systems using Topic Modeling", Journal of Intelligence and Information Systems, Vol.21, No.3 (2015), 101-116.
Das, A. S., M. Datar, A. Garg and S. Rajaram, "Google News Personalization: Scalable Online Collaborative Filtering", In Proceedings of the 16th international conference on World Wide Web, (2007), 271-280.
Dehuri, S., Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods: Contextual Advancements and New Methods, IGI Global, 2012.
Filieri, R. and F. McLeay, "E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers' Adoption of Information from Online Reviews", Journal of Travel Research, Vol.53, No.1 (2014), 44-57.
Good, N., J. B. Schafer, J. A. Konstan, A. Borchers, B. Sarwar, J. Herlocker and J. Riedl, "Combining Collaborative Filtering with Personal Agents for Better Recommendations", AAAI/IAAI, (1999), 439.
Gupta, P. and J. Harris, "How E-WOM Recommendations Influence Product Consideration and Quality of Choice: A Motivation to Process Information Perspective", Journal of Business Research, Vo.63, No.9-10 (2010), 1041-1049.
He, X., T. Chen, M. Y. Kan and X. Chen, "Trirank: Review-Aware Explainable Recommendation by Modeling Aspects", In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, (2015), 1661-1670.
Herlocker, J. L., J. A. Konstan and J. T. Riedl, "Explaining Collaborative Filtering Recommendations", In Proceedings of the 2000 ACM conference on Computer supported cooperative work, (2000), 241-250.
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.
Blei, D. M. and J. D. Lafferty, "A Correlated Topic Model of Science", The Annals of Applied Statistics, Vol.1, No.1 (2007), 17-35.
Jin, M., Luo, X., Zhu, H., and Zhuo, H. H., "Combining Deep Learning and Topic Modeling for Review Understanding in Context-aware Recommendation," In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol 1 (2018), 1605-1614.
Kim, H. K., J. K. Kim and Y. U. Ryu, "Personalized Recommendation over a Customer Network for Ubiquitous Shopping", IEEE Transactions on Services Computing, Vol.2, No.2 (2009), 140-151.
Kim, H. N., A. T. Ji, I. Ha and G. S. Jo, "Collaborative Filtering based on Collaborative Tagging for Enhancing the Quality of Recommendation", Electronic Commerce Research and Applications, Vol.9, No.1 (2010), 73-83.
Kim, J. K., H. S. Moon, B. J. An and I. Y. Choi, "A Grocery Recommendation for Off-line Shoppers", Online Information Review, Vol.42, No.4 (2018), 468-481.
Lee, J. S. and S. D. Park, "Performance Improvement of a Movie Recommendation System using Genre-wise Collaborative Filtering", Journal of Intelligence and Information Systems, Vol.13, No.4 (2007), 65-78.
Moon, H. S., J. K. Kim and Y. U. Ryu, "A Sequence-based Filtering Method for Exhibition Booth Visit Recommendations", International journal of information management, Vol.33, No.4 (2013), 620-626.
Moon, H. S., M. K. Jung, J. K. Kim and H. K. Kim, "Personalized Exhibition Booth Recommendation Methodology Using Sequential Association Rule", Journal of Intelligence and Information Systems, Vol.16, No.4 (2010), 195-211.
Ovsjanikov, M. and Y. Chen, "Topic Modeling for Personalized Recommendation of Volatile Items", In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Berlin, Heidelberg, (2010), 483-498.
Pazzani, M. J. and D. Billsus, "Content-based Recommendation Systems", In The adaptive web, Springer, Berlin, Heidelberg, (2007), 325-341.
Ponweiser, M. Latent Dirichlet Allocation in R (Diploma thesis). Institute for Statistics and Mathematics, WU (Wirtschaftsuniversitat Wien), Austria, 2012.
Pyo, S. and E. Kim, "LDA-based Unified Topic Modeling for Similar TV User Grouping and TV Program Recommendation", IEEE transactions on cybernetics, Vol.45, No.8 (2014), 1476-1490.
Ren, Z., S. Liang, P. Li, S. Wang and M. de Rijke, "Social Collaborative Viewpoint Regression with Explainable Recommendations", In Proceedings of the tenth ACM international conference on web search and data mining, (2017), 485-494.
Sarwar, B., G. Karypis, J. A. Konstan and J. T. Riedl, "Analysis of Recommendation Algorithms for E-commerce", In Proceedings of the 2nd ACM conference on Electronic commerce, (2000), 158-167.
Shardanand, U. and P. Maes, "Social Information Filtering: Algorithms for Automating "Word of Mouth"", In Proceedings of the SIGCHI conference on Human factors in computing systems, (1995), 210-217.
Linden, G., B. Smith and J. York, "Amazon.com Recommendations: Item-to-Item Collaborative Filtering", IEEE Internet computing, Vol.7, No.1 (2003), 76-80.
Suh, K. S., S. Lee, E. K. Suh, H. Kang, S. Lee and U. K. Lee, "Comparisons of Popularityand Expert-Based News Recommendations:Similarities and Importance", Asia pacific journal of information systems, Vol.24, No.2 (2014), 191-210.
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