A Survey and Critique of Deep Learning on Recommender Systems.pdf
Relational Stacked Denoising Autoencoder for Tag Recommendation.pdf
[ 2013 NIPS ] [Deep content-based music recommendation0].pdf
[ 2015 CIKM ] [Deep Collaborative Filtering via Marginalized Denoising Auto-encoder].pdf
[ 2015 ISMIR ] [CONTENT-AWARE COLLABORATIVE MUSIC RECOMMENDATION USING PRE-TRAINED NEURAL NETWORKS].pdf
[ 2015 NIPS ] [ Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs].pdf
[ 2015 Recsys ] [Learning Distributed Representations from Reviews for Collaborative Filtering].pdf
[ 2015 WWW ] [A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems].pdf
[ 2016 ACML ] [Collaborative Recurrent Neural Networks for Dynamic Recommender Systems].pdf
[ 2016 Arxiv ] [Ask the GRU Multi-task Learning for Deep Text Recommendations].pdf
[ 2016 Arxiv ] [Hybrid Collaborative Filtering with Neural Networks].pdf
[ 2016 Arxiv ] [Hybrid Recommender System based on Autoencoders].pdf
[ 2016 Arxiv ] [Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation].pdf
[ 2016 Google ] [ Wide & Deep Learning for Recommender Systems].pdf
[ 2016 ICASSP ] [Hybrid music recommender using content-based and social information ].pdf
[ 2016 ICLR ] [Session-based Recommendations with Recurrent Neural Networks].pdf
[ 2016 JMLR ] [ A Neural Autoregressive Approach to Collaborative Filtering ].pdf
[ 2016 RecSys ] [Improved Recurrent Neural Networks for Session-based Recommendations].pdf
[ 2016 Recsys ] [Deep Neural Networks for YouTube Recommendations].pdf
[ 2016 Recsys ] [ Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations].pdf
[ 2016 Stanford] [ DeepPlaylist Using Recurrent Neural Networks to Predict Song Similarity ].pdf
[ 2016 WSDM ] [Collaborative Denoising Auto-Encoders for Top-N Recommender Systems ].pdf
[ 2017 Arxiv ] [Joint deep modeling of users and items using reviews for recommendation ].pdf
[ 2017 Arxiv ] [Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems].pdf
[ 2017 Arxiv ] [TransNets Learning to Transform for Recommendation by Rose Catherine].pdf
[ 2017 Arxiv ] [Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder].pdf
[ 2017 IR(J) ] [Neural Semantic Personalized Ranking for item cold-start recommendation].pdf
[ 2017 MLRec ] [Representation Learning of Users and Items for Review Rating Prediction Using Attention-based Convolutional Neural ].pdf
[2007] Restricted Boltzmann Machines for Collaborative Filtering.pdf
[2013] Deep content-based music recommendation.pdf
[2015] A Deep Embedding Model for Co-occurrence Learning.pdf
[2015] Collaborative Deep Learning for Recommender Systems.pdf
[2016] Factorization Meets the Item Embedding Regularizing Matrix Factorization with Item Co-occurrence.pdf
[2016] Hybrid Collaborative Filtering with Autoencoders.pdf
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