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A large amount of information exists in reviews written by users.
Methods and metrics for cold-start recommendations
A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock · 2002
Earlier work this paper cites.
Latent dirichlet allocation
D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003
Earlier work this paper cites.
Neural probabilistic language models
Y. Bengio, H. Schwenk, J.-S. Senécal, F. Morin, and J.-L. Gauvain · 2006
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Topic modeling: beyond bag-of-words
H. M. Wallach · 2006
Earlier work this paper cites.
Probabilistic matrix factorization
R. Salakhutdinov and A. Mnih · 2007
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Restricted boltzmann machines for collaborative filtering
R. Salakhutdinov, A. Mnih, and G. Hinton · 2007
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One-class collaborative filtering
R. Pan, Y. Zhou, B. Cao, N. N. Liu, R. Lukose, M. Scholz, and Q. Yang · 2008
Earlier work this paper cites.
Multi-facet rating of product reviews
S. Baccianella, A. Esuli, and F. Sebastiani · 2009
Earlier work this paper cites.
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
N. Jakob, S. H. Weber, M. C. Müller, and I. Gurevych · 2009
Earlier work this paper cites.
Matrix factorization techniques for recommender systems
Y. Koren, R. Bell, and C. Volinsky · 2009
Earlier work this paper cites.
Recurrent neural network based language model
T. Mikolov, M. Karafiát, L. Burget, J. Cernockỳ, and S. Khudanpur · 2010
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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Latent aspect rating analysis on review text data: a rating regression approach
H. Wang, Y. Lu, and C. Zhai · 2010
Earlier work this paper cites.
Natural language processing (almost) from scratch
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa · 2011
Cited alongside, same era.
Collaborative topic modeling for recommending scientific articles
C. Wang and D. M. Blei · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Learning attitudes and attributes from multi-aspect reviews
J. McAuley, J. Leskovec, and D. Jurafsky · 2012
Cited alongside, same era.
Factorization machines with libfm
S. Rendle · 2012
Cited alongside, same era.
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
Cited alongside, same era.
Ratings meet reviews, a combined approach to recommend
G. Ling, M. R. Lyu, and I. King · 2014
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Dropout: A simple way to prevent neural networks from overfitting
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
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Improving content-based and hybrid music recommendation using deep learning
X. Wang and Y. Wang · 2014
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Learning distributed representations from reviews for collaborative filtering
A. Almahairi, K. Kastner, K. Cho, and A. Courville · 2015
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Recommender systems based on user reviews: the state of the art
L. Chen, G. Chen, and F. Wang · 2015
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A multi-view deep learning approach for cross domain user modeling in recommendation systems
A. M. Elkahky, Y. Song, and X. He · 2015
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Hidden factors and hidden topics: understanding rating dimensions with review text
J. McAuley and J. Leskovec · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Deep content-based music recommendation
A. Van den Oord, S. Dieleman, and B. Schrauwen · 2013
Cited alongside, same era.
Topicmf: Simultaneously exploiting ratings and reviews for recommendation
Y. Bao, H. Fang, and J. Zhang · 2014
Cited alongside, same era.
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
Q. Diao, M. Qiu, C. Wu, A. J. Smola, J. Jiang, and C. Wang · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Y. Kim · 2014
Cited alongside, same era.
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Effective use of word order for text categorization with convolutional neural networks
R. Johnson and T. Zhang · 2015
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Deep collaborative filtering via marginalized denoising auto-encoder
S. Li, J. Kawale, and Y. Fu · 2015
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Inferring networks of substitutable and complementary products
J. McAuley, R. Pandey, and J. Leskovec · 2015
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Collaborative deep learning for recommender systems
H. Wang, N. Wang, and D.-Y. Yeung · 2015
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FLAME: A probabilistic model combining aspect based opinion mining and collaborative filtering
Y. Wu and M. Ester · 2015
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Theano: A Python framework for fast computation of mathematical expressions
Theano Development Team · 2016
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