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Predicting personalized sequential behavior is a key task for recommender systems.
U. Shardanand and P. Maes, “Social information filtering: algorithms for automating “word of mouth”,” in
1995
Earlier work this paper cites.
W. Hill, L. Stead, M. Rosenstein, and G. Furnas, “Recommending and evaluating choices in a virtual community of use,” in
1995
Earlier work this paper cites.
J. A. Konstan, B. N. Miller, D. Maltz, J. L. Herlocker, L. R. Gordon, and J. Riedl, “Grouplens: applying collaborative filtering to usenet news,”
1997
Earlier work this paper cites.
J. S. Breese, D. Heckerman, and C. Kadie, “Empirical analysis of predictive algorithms for collaborative filtering,” in
1998
Earlier work this paper cites.
K. Miyahara and M. J. Pazzani, “Collaborative filtering with the simple bayesian classifier,” in
2000
Earlier work this paper cites.
A. Zimdars, D. M. Chickering, and C. Meek, “Using temporal data for making recommendations,” in
2001
Earlier work this paper cites.
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa, “Using sequential and non-sequential patterns in predictive web usage mining tasks,” in
2002
Earlier work this paper cites.
G. Shani, R. I. Brafman, and D. Heckerman, “An mdp-based recommender system,” in
2002
Earlier work this paper cites.
G. Linden, B. Smith, and J. York, “Amazon.com recommendations: item-to-item collaborative filtering,”
2003
Earlier work this paper cites.
M. Deshpande and G. Karypis, “Item-based top-n recommendation algorithms,”
2004
Earlier work this paper cites.
R. Salakhutdinov, A. Mnih, and G. Hinton, “Restricted boltzmann machines for collaborative filtering,” in
2007
Cited alongside, same era.
R. M. Bell, Y. Koren, and C. Volinsky, “The bellkor solution to the netflix prize,” 2007
2007
Cited alongside, same era.
J. Bennett and S. Lanning, “The netflix prize,” in
2007
Cited alongside, same era.
A. Paterek, “Improving regularized singular value decomposition for collaborative filtering,” in
2007
Cited alongside, same era.
Y. Hu, Y. Koren, and C. Volinsky, “Collaborative filtering for implicit feedback datasets,” in
2008
Cited alongside, same era.
R. Pan, Y. Zhou, B. Cao, N. N. Liu, R. Lukose, M. Scholz, and Q. Yang, “One-class collaborative filtering,” in
2008
S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme, “Factorizing personalized markov chains for next-basket recommendation,” in
2010
Later among the works it cites.
——, “Collaborative filtering with temporal dynamics,”
2010
Later among the works it cites.
F. Ricci, L. Rokach, B. Shapira, and P. Kantor,
2011
Later among the works it cites.
X. Ning and G. Karypis, “Slim: Sparse linear methods for top-n recommender systems,” in
2011
Later among the works it cites.
Y. Koren and R. Bell, “Advances in collaborative filtering,” in
2011
Later among the works it cites.
S. Kabbur, X. Ning, and G. Karypis, “FISM: factored item similarity models for top-n recommender systems,” in
2013
Later among the works it cites.
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Cited alongside, same era.
Y. Koren, “Factorization meets the neighborhood: a multifaceted collaborative filtering model,” in
2008
Cited alongside, same era.
S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme, “BPR: bayesian personalized ranking from implicit feedback,” in
2009
Cited alongside, same era.
Y. Koren, R. Bell, and C. Volinsky, “Matrix factorization techniques for recommender systems,” 2009
2009
Cited alongside, same era.
T. Zhao, J. McAuley, and I. King, “Leveraging social connections to improve personalized ranking for collaborative filtering,” in
2014
Later among the works it cites.
J. J. McAuley, C. Targett, Q. Shi, and A. van den Hengel, “Image-based recommendations on styles and substitutes,” in
2015
Later among the works it cites.