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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

entity2rec

Deep Learning

Summary

Summary 20180327

Multilayer Perceptron (MLP)

NCF

NSCR

DeepFM

ACF

Autoencoder (AE)

AutoRec

CDAE

mDA-CF

AutoSVD++

CDL

combine with CNN: CKE

Convolutional Neural Network (CNN)

Hashtag Recommendation Using Attention-Based Convolutional Neural Network

DeepCoNN

TransNet

ConvMF

VPOI

Automatic Recommendation Technology for Learning Resources with Convolutional Neural Network

NSPR

combine with MLP: Comparative Deep Learning of Hybrid Representations for Image Recommendations

combine with MLP: ConTagNet

Recurrent Neural Network (RNN)

RRN

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)

DSPR

MV-DNN

combine with CNN: Modeling Interestingness with Deep Neural Networks

combine with LSTM: TDSSM

Restricted Boltzmann Machine (RBM)

RBM-CF

Multitask

BoWLF&LMLF

PSR