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Collaborative filtering is a rapidly advancing research area.
Analyzing and modeling rank data
J. I. Marden · 1996
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Recommendation as classification: Using social and content-based information in recommendation
C. Basu, H. Hirsh, and W. Cohen · 1998
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Learning collaborative information filters
D. Billsus and M. J. Pazzani · 1998
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Empirical analysis of predictive algorithms for collaborative filtering
J. Breese, D. Heckerman, and C. Kadie · 1998
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Clustering methods for collaborative filtering
L. H. Ungar and D. P. Foster · 1998
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Learning the parts of objects by non-negative matrix factorization
D. Lee and H. Seung · 1999
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Collaborative filtering with the simple bayesian classifier
K. Miyahara and M. J. Pazzani · 2000
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Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach
D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles · 2000
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Rectree: An efficient collaborative filtering method
S. H. S. Chee, J. Han, and K. Wang · 2001
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Clustering items for collaborative filtering
M. Connor and J. Herlocker · 2001
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Algorithms for non-negative matrix factorization
D. Lee and H. Seung · 2001
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Content-boosted collaborative filtering
P. Melville, R. J. Mooney, and R. Nagarajan · 2001
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Item-based collaborative filtering recommendation algorithms
B. Sarwar, G. Karypis, J. Konstan, and J. Reidl · 2001
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Cumulated gain-based evaluation of ir techniques
K. Järvelin and J. Kekäläinen · 2002
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Improvement of collaborative filtering with the simple bayesian classifier 1
K. Miyahara and M. J. Pazzani · 2002
Cited alongside, same era.
A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains
D. Y. Pavlov and D. M. Pennock · 2002
Cited alongside, same era.
Recommender systems for large-scale e-commerce: Scalable neighborhood formation using clustering
B. M. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2002
Cited alongside, same era.
Probabilistic model estimation for collaborative filtering based on items attributes
B. M. Kim and Q. Li · 2004
Cited alongside, same era.
Taxonomy-driven computation of product recommendations
C.-N. Ziegler, G. Lausen, and S.-T. L · 2004
Cited alongside, same era.
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
Hybrid collaborative filtering algorithms using a mixture of experts
X. Su, R. Greiner, T. M. Khoshgoftaar, , and X. Zhu · 2007
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Feature weighting in content based recommendation system using social network analysis
S. Debnath, N. Ganguly, and P. Mitra · 2008
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Collaborative filtering for implicit feedback datasets
Y. Hu, Y. Koren, and C. Volinsky · 2008
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Factorization meets the neighborhood: a multifaceted collaborative filtering model
Y. Koren · 2008
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Bayesian probabilistic matrix factorization using markov chain monte carlo
R. Salakhutdinov and A. Mnih · 2008
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Probabilistic matrix factorization
R. Salakhutdinov and A. Mnih · 2008
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G. Adomavicius and A. Tuzhilin · 2005
Cited alongside, same era.
Slope one predictors for online rating-based collaborative filtering
D. Lemire and A. Maclachlan · 2005
Cited alongside, same era.
Fast maximum margin matrix factorization for collaborative prediction
J. Rennie and N. Srebro · 2005
Cited alongside, same era.
Maximum-margin matrix factorization
N. Srebro, J. D. M. Rennie, and T. S. Jaakola · 2005
Cited alongside, same era.
Collaborative filtering using a regression-based approach
S. Vucetic and Z. Obradovic · 2005
Cited alongside, same era.
Scalable collaborative filtering using cluster-based smoothing
G. R. Xue, C. Lin, Q. Yang, W. S. Xi, H. J. Zeng, Y. Yu, and Z. Chen · 2005
Cited alongside, same era.
Collaborative prediction using ensembles of maximum margin matrix factorizations
D. DeCoste · 2006
Cited alongside, same era.
A survey of accuracy evaluation metrics of recommendation tasks
A. Gunawardana and G. Shani · 2009
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Non-linear matrix factorization with gaussian processes
N. D. Lawrence and R. Urtasun · 2009
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Feature-weighted linear stacking
J. Sill, G. Takacs, L. Mackey, and D. Lin · 2009
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A survey of collaborative filtering techniques
X. Su and T. M. Khoshgoftaar · 2009
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Fast nonparametric matrix factorization for large-scale collaborative filtering
K. Yu, S. Zhu, J. Lafferty, and Y. Gong · 2009
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All together now: A perspective on the netflix prize
R. Bell, Y. Koren, and C. Volinsky · 2010
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Recommender Systems – An Introduction
D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich · 2011
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Estimating probabilities in recommendation systems
M. Sun, G. Lebanon, and P. Kidwell · 2011
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