recommendation-reference-paper-list

Collaborative Filtering Based Model

Title	Structure	Dataset	Baseline	Metric
Atentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention (ACF) [2017 SIGIR(ACM)**] [paper]		Pinterest Vine	[CF-based] UCF itemKNN BPR SVD++ [Content-based] CBF [Hybrid] SVDFeature Deep Hybrid	HR NDCG (L-O-O*) (K=10~100) (dim=32,64,128)
Deep Matrix Factorization Models for Recommender Systems (DMF) [2017 IJCAI**] [paper]		ML 100K ML 1m Amusic Amovie	itemPOP itemKNN eALS NeuMF-p	HR NDCG (L-O-O*) (K=10)
Neural Collaborative Filtering (NeuMF) [2017 WWW**] [paper]		ML 1m Pinterest	itemPOP itemKNN BPR eALS	HR NDCG (L-O-O*) (K=1~10) (dim=8,16,32,64)
A Neural Collaborative Filtering Model with Interaction-based Neighborhood (NNCF) [2017 CIKM(ACM)**] [paper]		Delicious ML 1m Rossmann	itemPOP itemKNN BPR NeuMF	HR NDCG (L-O-O*) (K=5,10) (dim=32)
NAIS: Neural Attentive Item Similarity Model for Recommendation (NAIS) [2018 IEEE] [paper]		ML 1m Pinterest (same set as NCF)	itemPOP itemKNN FISM MF-BPR MF-eALS MLP	HR NDCG (L-O-O*) (K=10) (dim=8,16,32,64)
Outer Product-based Neural Collaborative Filtering (ConvNCF) [2018 arXiv] [paper]		Yelp Gowalla	itemPOP MF-BPR MLP JRL NeuMF	HR NDCG (L-O-O-1000) (K=10) (dim=64)
Deep Item-based Collaborative Filtering for Top-N Recommendation (DeepICF) [2019 ACM] [paper]		ML 1m Pinterest	itemPOP itemKNN HOSLIM BPR eALS MLP FISM	HR NDCG (L-O-O*) (K=10) (dim=8,16,32,64)
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network (DAM) [2019 IJCAI**] [paper]		Netease Youshu	BPR NCF BR EFM	Recall MAP (L-O-O*) (K=5) (dim=5,10)
Neural Graph Collaborative Filtering (NGCF) [2019 SIGIR(ACM)**] [paper]		Gowalla Yelp2018 Amazon-Book	MF NeuMF CMN HOP-Rec PinSage GC-MC	Recall NDCG (tt-split, 8:2) (K=20)
Reinforced Negative Sampling for Recommendation with Exposure Data (RNS) [2019 IJCAI**] [paper]		Beibei Zhihu	[common] itemPOP BPR-GMF [adversarial sampler] BPR-DNS KBGAN IRGAN [exposure-enhanced samplers] BPE-EN EBPR	AUC NDCG (L-O-O*) (K=10) (dim=32)
Efficient Neural Matrix Factorization without Sampling for Recommendation (ENMF) [2020 ACM] [paper]		Ciao Epinion ML 1m	itemPOP itemKNN BPR WMF ExpoMF GMF NCF ConvNCF	HR NDCG (L-O-O-all) (K=50,100,200) (dim=8,16,32,64)

* : L-O-O : Leave-one-Out

** : Conference Proceedings Paper

Factorization Machine Based Model

Title	Structure	Dataset	Baseline	Metric
Deep Learning over Multi-field Categorical Data (FNN,SNN) [2016 ECIR**] [paper]		iPinYou	LR FM FNN(ours) SNN(ours)	AUC-ROC
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features (DC) [2016 KDD**] [paper]		text_cp1_tn_s text_cp1_tn_b	DSSM	Logloss
Wide & Deep Learning for Recommender Systems (W&D) [2016 DLRS**] [paper]		-	wide deep wide&deep	offline AUC
Deep & Cross Network for Ad Click Predictions (DCN) [2017 ADKDD**] [paper]		Criteo Display Ads2	DNN LR FM W&D DC	Logloss
Neural Factorization Machines for Sparse Predictive Analytics (NFM) [2017 SIGIR**] [paper]		Frappe ML-(2017)	LibFM HOFM Wide&Deep DeepCross	RMSE (tt-split, 7:2:1)
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction (DeepFM) [2017 arXiv] [paper]		Criteo Company*	LR,FM FNN IPNN,OPNN,PNN* LR&DNN FM&DNN	AUC-ROC Logloss
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems (xDeepFM) [2018 SIGKDD**] [paper]		Criteo Dianping Bing News	LR,FM DNN,DCN W&D PNN DeepFM	AUC-ROC Logloss
CFM: Convolutional Factorization Machines for Context-Aware Recommendation (CFM) [2019 IJCAI] [paper]		Frappe Last FM ML 1m	itemPOP FM NFM DeepFM ONCF	HR NDCG L-O-O-all (K=5,10,20)
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction (HoAFM) [2020 IP&M] [paper]		Criteo Avazu	GBDT+LR FM W&D NFM CIN xDeepFM	AUC-ROC Logloss (tt-split,8:1:1)

* : L-O-O : Leave-one-Out (100)

** : Conference Proceedings Paper

Graph Convolution Based Model

Title	Structure	Dataset	Baseline	Metric

* : L-O-O : Leave-one-Out (100)

** : Conference Proceedings Paper

Knowledge Graph Based Model

Title	Structure	Dataset	Baseline	Metric
KGAT: Knowledge Graph Attention Network for Recommendation (KGAT) [2019 SIGKDD**] [paper]		Amazon-book Last-FM Yelp2018	FM NFM CKE CFKG MCRec RippleNet GC-MC	recall NDCG (L-O-O-all) (K=20) (dim=64)
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences (KTUP) [2019 WWW**] [paper]		ML-1m DBbook2014	CFKG CKE CoFM	Precision Recall F1 Hit NDCG (tt-split,7:1:2) (K=10) (dim=100)
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (KGNN) [2019 SIGKDD**] [paper]
Knowledge Graph Convolutional Networks for Recommender Systems (KGCN) [2019 WWW] [paper]

* : L-O-O : Leave-one-Out (100)

** : Conference Proceedings Paper