Fetching the paper…
Reading the bibliography…
In this paper we consider the collaborative ranking setting: a pool of users each provides a small number of pairwise preferences between $d$ possible items; from these we need to predict preferences of the users for items they have not yet seen.
Rank analysis of incomplete block designs: I. the method of paired comparisons
Bradley, Ralph Allan and Terry, Milton E · 1952
Earlier work this paper cites.
Individual Choice Behavior
Luce, Duncan R · 1959
Earlier work this paper cites.
Large Margin Rank Boundaries for Ordinal Regression , chapter 7, pp. 115–132
Herbrich, Ralf, Graepel, Thore, and Obermayer, Klaus · 2000
Earlier work this paper cites.
The expected norm of random matrices
Seginer, Yoav · 2000
Earlier work this paper cites.
Optimizing search engines using clickthrough data
Joachims, Thorsten · 2002
Earlier work this paper cites.
Maximum margin matrix factorization
Srebro, Nathan, Rennie, Jason, and Jaakkola, Tommi · 2004
Earlier work this paper cites.
Cofirank: maximum margin matrix factorization for collaborative ranking
Weimer, Markus, Karatzoglou, Alexandros, Le, Quoc V., and Smola, Alex · 2007
Earlier work this paper cites.
A dual coordinate descent method for large-scale linear SVM
Hsieh, Cho-Jui, Chang, Kai-Wei, Lin, Chih-Jen, Keerthi, S. Sathiya, and Sundararajan, S · 2008
Earlier work this paper cites.
Collaborative filtering for implicit feedback datasets
Hu, Yifan, Koren, Yehuda, and Volinsky, Chris · 2008
Earlier work this paper cites.
Probabilistic latent preference analysis for collaborative filtering
Liu, Nathan N, Zhao, Min, and Yang, Qiang · 2009
Earlier work this paper cites.
Learning to Rank for Information Retrieval
Liu, Tie-Yan · 2009
Cited alongside, same era.
Bpr: Bayesian personalized ranking from implicit feedback
Rendle, Steffen, Freudenthaler, Christoph, Gantner, Zeno, and Schmidt-Thieme, Lars · 2009
Cited alongside, same era.
Active learning ranking from pairwise preferences with almost optimal query complexity
Ailon, Nir · 2011
Cited alongside, same era.
Hogwild: A lock-free approach to parallelizing stochastic gradient descent
Niu, Feng, Recht, Benjamin, Ré, Christopher, and Wright, Stephen · 2011
Cited alongside, same era.
Collaborative ranking
Balakrishnan, Suhrid and Chopra, Sumit · 2012
Cited alongside, same era.
Iterative ranking from pair-wise comparisons
Negahban, Sahand, Oh, Sewoong, and Shah, Devavrat · 2012
Cited alongside, same era.
Climf: collaborative less-is-more filtering
Shi, Yue, Karatzoglou, Alexandros, Baltrunas, Linas, Larson, Martha, Oliver, Nuria, and Hanjalic, Alan · 2013
Later among the works it cites.
Efficient ranking from pairwise comparisons
Wauthier, Fabian L., Jordan, Michael I., and Jojic, Nebojsa · 2013
Later among the works it cites.
Jointly clustering rows and columns of binary matrices: Algorithms and trade-offs
Xu, Jiaming, Wu, Rui, Zhu, Kai, Hajek, Bruce, Srikant, R, and Ying, Lei · 2013
Later among the works it cites.
Inferring users’ preferences from crowdsourced pairwise comparisons: A matrix completion approach
Yi, Jinfeng, Jin, Rong, Jain, Shaili, and Jain, Anil · 2013
Later among the works it cites.
1-bit matrix completion
Davenport, Mark A, Plan, Yaniv, Berg, Ewout van den, and Wootters, Mary · 2014
Later among the works it cites.
Minimax-optimal inference from partial rankings
Hajek, Bruce, Oh, Sewoong, and Xu, Jiaming · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Compressed sensing: theory and applications , chapter Introduction to the non-asymptotic analysis of random matrices
Vershynin, Roman · 2012
Cited alongside, same era.
Collaborative ranking with 17 parameters
Volkovs, Maksims N. and Zemel, Richard S · 2012
Cited alongside, same era.
Latent collaborative retrieval
Weston, Jason, Want, Chong, Weiss, Ron, and Berenzeig, Adam · 2012
Cited alongside, same era.
Stochastic dual coordinate ascent methods for regularized loss minimization
Shalev-Shwartz, Shai and Zhang, Tong · 2013
Cited alongside, same era.
Active ranking using pairwise comparisons
Jamieson, K. G. and Nowak, R
Cited in the paper.
Active ranking using pairwise comparisons
Jamieson, Kevin G. and Nowak, Robert D
Cited in the paper.
Later among the works it cites.
Local collaborative ranking
Lee, Joonseok, Bengio, Samy, Kim, Seungyeon, Lebanon, Guy, and Singer, Yoram · 2014
Later among the works it cites.
Individualized rank aggregation using nuclear norm regularization
Lu, Yu and Negahban, Sahand · 2014
Later among the works it cites.
PASSCoDe: Parallel asynchronous stochastic dual co-ordinate descent
Hsieh, Cho-Jui, Yu, Hsiang-Fu, and Dhillon, Inderjit S · 2015
Closest in time.