Matrix completion incorporating auxiliary information for recommender system design
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[1] Konstantinos G. Margaritis,et al. Using SVD and demographic data for the enhancement of generalized Collaborative Filtering , 2007, Inf. Sci..
[2] Akram Salah,et al. Exploiting User Demographic Attributes for Solving Cold-Start Problem in Recommender System , 2013 .
[3] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[4] Guy Shani,et al. Evaluating Recommendation Systems , 2011, Recommender Systems Handbook.
[5] Martin Jaggi,et al. A Simple Algorithm for Nuclear Norm Regularized Problems , 2010, ICML.
[6] Thai Thinh Dang,et al. A hybrid framework for enhancing correlation to solve cold-start problem in recommender systems , 2014, the 2014 Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).
[7] Pablo A. Parrilo,et al. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..
[8] Yao Zhao,et al. Orthogonal graph-regularized matrix factorization and its application for recommendation , 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).
[9] Jun Wang,et al. Unifying user-based and item-based collaborative filtering approaches by similarity fusion , 2006, SIGIR.
[10] S. Yun,et al. An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems , 2009 .
[11] Bradley N. Miller,et al. MovieLens unplugged: experiences with an occasionally connected recommender system , 2003, IUI '03.
[12] Emmanuel J. Candès,et al. Simple bounds for recovering low-complexity models , 2011, Math. Program..
[13] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..
[14] Stathes Hadjiefthymiades,et al. Facing the cold start problem in recommender systems , 2014, Expert Syst. Appl..
[15] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[16] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[17] Ruslan Salakhutdinov,et al. Practical Large-Scale Optimization for Max-norm Regularization , 2010, NIPS.
[18] Mark F. Hornick,et al. Extending Recommender Systems for Disjoint User/Item Sets: The Conference Recommendation Problem , 2012, IEEE Transactions on Knowledge and Data Engineering.
[19] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[20] Guillermo Sapiro,et al. Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information , 2012, SDM.
[21] Hui Xiong,et al. A Cocktail Approach for Travel Package Recommendation , 2014, IEEE Transactions on Knowledge and Data Engineering.
[22] Ohad Shamir,et al. Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing , 2011, COLT.
[23] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[24] Maryam Fazel,et al. Iterative reweighted algorithms for matrix rank minimization , 2012, J. Mach. Learn. Res..
[25] Michael A. Saunders,et al. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.
[26] Yehuda Koren,et al. Improved Neighborhood-based Collaborative Filtering , 2007 .
[27] Yurii Nesterov,et al. Introductory Lectures on Convex Optimization - A Basic Course , 2014, Applied Optimization.
[28] Chris H. Q. Ding,et al. Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs , 2010, SDM.
[29] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[30] Punam Bedi,et al. Trust based recommender system using ant colony for trust computation , 2012, Expert Syst. Appl..
[31] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[32] Chao Liu,et al. Recommender systems with social regularization , 2011, WSDM '11.
[33] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[34] Wotao Yin,et al. A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion , 2013, SIAM J. Imaging Sci..
[35] 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.
[36] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[37] Nathan Srebro,et al. Fast maximum margin matrix factorization for collaborative prediction , 2005, ICML.
[38] Jayant Gadge,et al. Performance analysis of recommendation system based on collaborative filtering and demographics , 2015, 2015 International Conference on Communication, Information & Computing Technology (ICCICT).
[39] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[40] Ya Zhang,et al. Collaborative filtering with social regularization for TV program recommendation , 2013, Knowl. Based Syst..