RecommenderSystem-Paper
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some papers about the recommender system
RecommenderSystem-Paper
papers about the recommender system
Collaborative Filtering
A basic paper about collaborative filtering
The paper that first puts forward the item-based collaborative filtering
This paper combines the cf with implicit feedback
A tool for cluster in CF
Matrix Factorization
Probabilistic Matrix Factorization
Social Recommendation Using Probabilistic Matrix Factorization
Collaborative Ranking
Combine the collaborative ranking with social relationships
Top-N Problem
Combine pairwise ranking loss and pointwise recovery loss for top-n problem
Use user graphs and item graphs for top-n recommendation
Deep Learning
Multilayer Perceptron (MLP)
Autoencoder (AE)
combine with CNN: CKE
Convolutional Neural Network (CNN)
Hashtag Recommendation Using Attention-Based Convolutional Neural Network
Automatic Recommendation Technology for Learning Resources with Convolutional Neural Network
combine with MLP: Comparative Deep Learning of Hybrid Representations for Image Recommendations
combine with MLP: ConTagNet
Recurrent Neural Network (RNN)
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
combine LSTM with CNN: Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network
combine GRU with CNN: NCN
Deep Semantic Similarity Model (DSSM)
combine with CNN: Modeling Interestingness with Deep Neural Networks
combine with LSTM: TDSSM
Restricted Boltzmann Machine (RBM)
RBM-CF