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Dealing with sparse, long-tailed datasets, and cold-start problems is always a challenge for recommender systems.
Empirical analysis of predictive algorithms for collaborative filtering
John S Breese, David Heckerman, and Carl Kadie · 1998
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Collaborative filtering with the simple bayesian classifier
Koji Miyahara and Michael J Pazzani · 2000
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Using temporal data for making recommendations
Andrew Zimdars, David Maxwell Chickering, and Christopher Meek · 2001
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Using sequential and non-sequential patterns in predictive web usage mining tasks
Bamshad Mobasher, Honghua Dai, Tao Luo, and Miki Nakagawa · 2002
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An mdp-based recommender system
Guy Shani, David Heckerman, and Ronen I Brafman · 2005
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The bellkor solution to the netflix prize, 2007
Robert M. Bell, Yehuda Koren, and Chris Volinsky · 2007
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The netflix prize
James Bennett and Stan Lanning · 2007
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Improving regularized singular value decomposition for collaborative filtering
Arkadiusz Paterek · 2007
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Restricted boltzmann machines for collaborative filtering
Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton · 2007
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Sorec: social recommendation using probabilistic matrix factorization
Hao Ma, Haixuan Yang, Michael R Lyu, and Irwin King · 2008
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Learning to recommend with social trust ensemble
Hao Ma, Irwin King, and Michael R Lyu · 2009
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Bpr: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
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A matrix factorization technique with trust propagation for recommendation in social networks
Mohsen Jamali and Martin Ester · 2010
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Factorizing personalized markov chains for next-basket recommendation
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme · 2010
Recommender systems handbook
Francesco Ricci, Lior Rokach, Bracha Shapira, and Paul Kantor · 2011
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mtrust: discerning multi-faceted trust in a connected world
Jiliang Tang, Huiji Gao, and Huan Liu · 2012
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Gbpr: Group preference based bayesian personalized ranking for one-class collaborative filtering
Weike Pan and Li Chen · 2013
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Exploiting homophily effect for trust prediction
Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu · 2013
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Leveraging social connections to improve personalized ranking for collaborative filtering
Tong Zhao, Julian McAuley, and Irwin King · 2014
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A probabilistic model for using social networks in personalized item recommendation
Allison JB Chaney, David M Blei, and Tina Eliassi-Rad · 2015
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Cited alongside, same era.
Factorizing personalized markov chains for next-basket recommendation
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme · 2010
Cited alongside, same era.
Recommender systems with social regularization
Hao Ma, Dengyong Zhou, Chao Liu, Michael R Lyu, and Irwin King · 2011
Cited alongside, same era.
Later among the works it cites.
Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings
Guibing Guo, Jie Zhang, and Neil Yorke-Smith · 2015
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Vista: a visually, socially, and temporally-aware model for artistic recommendation
Ruining He, Chen Fang, Zhaowen Wang, and Julian McAuley · 2016
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