Recommender System Seminar papers
(+AE) Collaborative Denoising Auto-Encoders for Top-N RecommenderSystems
(+CNN) Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
(+CNN) Outer Product-based Neural Collaborative Filtering
(+MLP) Neural Collaborative Filtering
(+RNN) Session-based Recommendations with Recurrent Neural Networks
(AE) Bilateral Variational Autoencoder for Collaborative Filtering
(AE) Variational Autoencoders for Collaborative Filtering
(Base) BPR: Bayesian Personalized Ranking from Implicit Feedback
(Base) Factorization Machines
(Base) Matrix Factorization Techniques for Recommender Systems
(CNN) Convolutional Matrix Factorization for Document Context-Aware Recommendation
(GNN) Graph Neural Networks for Social Recommendation
(MLP) Deep Neural Networks for YouTube Recommendations
(MLP) DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
(MLP) Wide & Deep Learning for Recommender Systems
(MLP+CNN) 지식경영연구21권_3호문현실임진혁김도연_조윤호
(RNN) Multimodal Review Generation for Recommender Systems
(RNN) Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
(SOTA) Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
(SOTA) GLocal-K: Global and Local Kernels for Recommender Systems
(Transformer) BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
(Transformer)지능정보연구28권_3호권유진,최민석,조윤호
(W2V) Item2Vec: Neural Item Embedding for Collaborative Filtering
