Applying uncertainty theory to group recommender systems taking account of experts preferences
暂无分享,去创建一个
Ting Yu | Lihua Sun | Junpeng Guo | Wenhua Li | Junpeng Guo | Lihua Sun | Ting Yu | Wenhua Li
[1] Diego Fernández,et al. Comparison of collaborative filtering algorithms , 2011, ACM Trans. Web.
[2] Jiuping Xu,et al. Some Properties on Expected Value Operator for Uncertain Variables , 2009 .
[3] Le Hoang Son. HU-FCF: A hybrid user-based fuzzy collaborative filtering method in Recommender Systems , 2014, Expert Syst. Appl..
[4] John Riedl,et al. Analysis of recommendation algorithms for e-commerce , 2000, EC '00.
[5] S. Sangeetha,et al. Enhanced Travel Planning System for Group of users using Hybrid Collaborative Filtering , 2016 .
[6] Sevgi Ozkan,et al. A systematic literature review on Health Recommender Systems , 2013, 2013 E-Health and Bioengineering Conference (EHB).
[7] Sibo Ding,et al. Uncertain multi-product newsboy problem with chance constraint , 2013, Appl. Math. Comput..
[8] Silvia N. Schiaffino,et al. Entertainment recommender systems for group of users , 2011, Expert Syst. Appl..
[9] Sibo Ding,et al. Uncertain random newsboy problem , 2014, J. Intell. Fuzzy Syst..
[10] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[11] Xiaowei Chen,et al. Variation analysis of uncertain stationary independent increment processes , 2012, Eur. J. Oper. Res..
[12] Member contribution-based group recommender system , 2016 .
[13] Kamal Kant Bharadwaj,et al. Fuzzy-genetic approach to recommender systems based on a novel hybrid user model , 2008, Expert Syst. Appl..
[14] Jagadeesh Gorla,et al. Probabilistic group recommendation via information matching , 2013, WWW.
[15] Hui Tian,et al. A new user similarity model to improve the accuracy of collaborative filtering , 2014, Knowl. Based Syst..
[16] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[17] Yuan Gao. Uncertain models for single facility location problems on networks , 2012 .
[18] Sophie Ahrens,et al. Recommender Systems , 2012 .
[19] Judith Masthoff,et al. Group Recommender Systems: Combining Individual Models , 2011, Recommender Systems Handbook.
[20] Arun K. Pujari,et al. Virtual user approach for group recommender systems using precedence relations , 2015, Inf. Sci..
[21] Yen-Liang Chen,et al. A group recommendation system with consideration of interactions among group members , 2008, Expert Syst. Appl..
[22] Yi Gu,et al. Optimizing top precision performance measure of content-based image retrieval by learning similarity function , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[23] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[24] Luis M. de Campos,et al. A collaborative recommender system based on probabilistic inference from fuzzy observations , 2008, Fuzzy Sets Syst..
[25] Baoding Liu,et al. Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty , 2011, Studies in Computational Intelligence.
[26] Lixing Yang,et al. On distribution function of the diameter in uncertain graph , 2015, Inf. Sci..
[27] Wei Wang,et al. Recommender system application developments: A survey , 2015, Decis. Support Syst..
[28] Li-Chen Cheng,et al. Applied Soft Computing , 2014 .
[29] Xiang Li,et al. Uncertain Alternating Renewal Process and Its Application , 2012, IEEE Transactions on Fuzzy Systems.
[30] Yuan Gao,et al. On Computing the Edge-Connectivity of an Uncertain Graph , 2016, IEEE Transactions on Fuzzy Systems.
[31] Baoding Liu,et al. Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty , 2011, Studies in Computational Intelligence.
[32] Jinwu Gao,et al. Uncertain Random Alternating Renewal Process With Application to Interval Availability , 2015, IEEE Transactions on Fuzzy Systems.
[33] John Riedl,et al. PolyLens: A recommender system for groups of user , 2001, ECSCW.
[34] Pedram Bashiri. Recommender systems: Survey and Possible Extensions , 2018 .
[35] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[36] Yan Fu,et al. Diffuse-like recommender with enhanced similarity of objects , 2015, ArXiv.
[37] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[38] Danuta Zakrzewska,et al. Using Fuzzy Logic for Recommending Groups in E-Learning Systems , 2013, ICCCI.
[39] Hyung Jun Ahn,et al. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem , 2008, Inf. Sci..
[40] Yuan Gao,et al. Shortest path problem with uncertain arc lengths , 2011, Comput. Math. Appl..
[41] Wei Wang,et al. Member contribution-based group recommender system , 2016, Decis. Support Syst..
[42] Judith Masthoff,et al. Group Recommender Systems: Aggregation, Satisfaction and Group Attributes , 2015, Recommender Systems Handbook.
[43] Jürgen Ziegler,et al. Preference Elicitation and Negotiation in a Group Recommender System , 2015, INTERACT.
[44] Katrien Verbert,et al. Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives , 2016, Machine Learning for Health Informatics.
[45] Baoding Liu. Uncertain Set Theory and Uncertain Inference Rule with Application to Uncertain Control , 2010 .
[46] Anthony Jameson,et al. More than the sum of its members: challenges for group recommender systems , 2004, AVI.