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Recommender System research suffers currently from a disconnect between the size of academic data sets and the scale of industrial production systems.
The fractal geometry of nature
1982
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Matrix analysis
1990
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Grouplens: an open architecture for collaborative filtering of netnews
1994
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Optimal kronecker product approximation of block toeplitz matrices
2000
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Item-based collaborative filtering recommendation algorithms
2001
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Database-friendly random projections: Johnson-lindenstrauss with binary coins
2003
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Latent dirichlet allocation
2003
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Experiments with random projections for machine learning
2003
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Amazon. com recommendations: Item-to-item collaborative filtering
2003
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An intelligent recommender system using sequential web access patterns
2004
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Realistic, mathematically tractable graph generation and evolution, using kronecker multiplication
2005
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An mdp-based recommender system
2005
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Very sparse random projections
2006
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How to break anonymity of the netflix prize dataset
2006
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The netflix prize
2007
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Stochastic kronecker graphs
2007
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Robust dynamic classes revealed by measuring the response function of a social system
2008
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The long tail of recommender systems and how to leverage it
2008
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Matrix factorization techniques for recommender systems
2009
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Performance of recommender algorithms on top-n recommendation tasks
2010
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Anatomy of the long tail: ordinary people with extraordinary tastes
2010
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Kronecker graphs: An approach to modeling networks
2010
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Music recommendation and the long tail
2010
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Principal component analysis
2011
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Matrix computations
2012
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Context-aware music recommendation based on latenttopic sequential patterns
2012
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Recommendation networks and the long tail of electronic commerce
2012
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A neural autoregressive approach to collaborative filtering
2016
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Controlling popularity bias in learning-to-rank recommendation
2017
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Random projection design for scalable implicit smoothing of randomly observed stochastic processes
2017
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Active positive semidefinite matrix completion: Algorithms, theory and applications
2017
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How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
2017
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Neural collaborative filtering
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Challenging the long tail recommendation
2012
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scikit-image: image processing in python
2014
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A probabilistic model for using social networks in personalized item recommendation
2015
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Deep learning
2015
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Recommender systems: introduction and challenges
2015
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2017
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Long-range dependence and self-similarity
2017
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Human interaction with recommendation systems
2017
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Enabling kernel-based attribute-aware matrix factorization for rating prediction
2017
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Factorized recurrent neural architectures for longer range dependence
2018
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Latent cross: Making use of context in recurrent recommender systems
2018
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A unified framework for structured low-rank matrix learning
2018
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Efficient training on very large corpora via gramian estimation
2018
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A dual framework for low-rank tensor completion
2018
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Personalized top-n sequential recommendation via convolutional sequence embedding
2018
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Structural deep embedding for hyper-networks
2018
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Categorical-attributes-based item classification for recommender systems
2018
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Deep interest network for click-through rate prediction
2018
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Scalable realistic recommendation datasets through fractal expansions
2019
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