Gated recurrent units based neural network for time heterogeneous feedback recommendation

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho et al. · arXiv (Cornell University) · 2014 · 10.8K citations · Full text

Computing, Data Science, Machine Learning +13

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Gediminas Adomavičius, Alexander Tuzhilin · IEEE Transactions on Knowledge and Data Engineering · 2005 · 10.3K citations

Computing, Computer Science, Information Retrieval +14

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Pascal Vincent, Hugo Larochelle, Isabelle Lajoie et al. · 2010 · 5K citations

Computing, Computer Science, Machine Learning +7

BPR: Bayesian Personalized Ranking from Implicit Feedback

Steffen Rendle, Christoph Freudenthaler, Zeno Gantner et al. · arXiv (Cornell University) · 2012 · 4.4K citations · Full text

Computing, Computer Science, Bayesian Data Analysis +13

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

VincentPascal, LarochelleHugo, LajoieIsabelle et al. · Journal of Machine Learning Research · 2010 · 4.1K citations

Computing, Computer Science, Machine Learning +7