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Building a recommendation system that serves billions of users on daily basis is a challenging problem, as the system needs to make astronomical number of predictions per second based on real-time user behaviors with O(1) time complexity.
Learning and revising user profiles: The identification of interesting web sites
M. Pazzani and D. Billsus · 1997
Earlier work this paper cites.
Empirical analysis of predictive algorithms for collaborative filtering
J. S. Breese, D. Heckerman, and C. Kadie · 1998
Earlier work this paper cites.
Modern Information Retrieval
R. A. Baeza-Yates and B. Ribeiro-Neto · 1999
Earlier work this paper cites.
Content-based book recommending using learning for text categorization
R. J. Mooney and L. Roy · 2000
Earlier work this paper cites.
Analysis of recommendation algorithms for e-commerce
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2000
Earlier work this paper cites.
Evaluation of item-based top-n recommendation algorithms
G. Karypis · 2001
Earlier work this paper cites.
Item-based collaborative filtering recommendation algorithms
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2001
Earlier work this paper cites.
Hybrid recommender systems: Survey and experiments
R. Burke · 2002
Earlier work this paper cites.
The link prediction problem for social networks
D. Liben-Nowell and J. Kleinberg · 2003
Earlier work this paper cites.
Amazon.com recommendations: Item-to-item collaborative filtering
G. Linden, B. Smith, and J. York · 2003
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M. Deshpande and G. Karypis · 2004
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Empirical analysis of an evolving social network
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Near linear time algorithm to detect community structures in large-scale networks
U. N. Raghavan, R. Albert, and S. Kumara · 2007
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Context-aware recommender systems
G. Adomavicius and A. Tuzhilin · 2008
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Temporal recommendation on graphs via long- and short-term preference fusion
L. Xiang, Q. Yuan, S. Zhao, L. Chen, X. Zhang, Q. Yang, and J. Sun · 2010
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Context-aware recommender systems
G. Adomavicius, B. Mobasher, F. Ricci, and A. Tuzhilin · 2011
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Advances in collaborative filtering
Y. Koren and R. M. Bell · 2011
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Content-based recommender systems: State of the art and trends
P. Lops, M. de Gemmis, and G. Semeraro · 2011
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Utilizing related products for post-purchase recommendation in e-commerce
J. Wang, B. Sarwar, and N. Sundaresan · 2011
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Vertex collocation profiles: subgraph counting for link analysis and prediction
R. Lichtenwalter and N. V. Chawla · 2012
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