Models

Model	Conference	Year	Paper
popularity	-	-	-
ItemKNN	TOIS	2004	Item-based top-N recommendation algorithms
BPR	UAI	2009	BPR: Bayesian Personalized Ranking from Implicit Feedback
NeuMF	WWW	2017	Neural Collaborative Filtering
ConvNCF	IJCAI	2017	Outer Product-based Neural Collaborative Filtering
DMF	IJCAI	2017	Deep Matrix Factorization Models for Recommender Systems
FISM	SIGKDD	2013	FISM: Factored Item Similarity Models for Top-N Recommender Systems
NAIS	TKDE	2018	NAIS: Neural Attentive Item Similarity Model for Recommendation
SpectralCF	RecSys	2018	Spectral Collaborative Filtering
GCMC	SIGKDD	2018	Graph Convolutional Matrix Completion
NGCF	SIGIR	2019	Neural Graph Collaborative Filtering
LightGCN	SIGIR	2020	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
DGCF	SIGIR	2020	Disentangled Graph Collaborative Filtering
MultiVAE	WWW	2018	Variational Autoencoders for Collaborative Filtering
MultiDAE	WWW	2018	Variational Autoencoders for Collaborative Filtering
CDAE	WSDM	2016	Collaborative denoising auto-encoders for top-n recommender systems
MacridVAE	NeurIPS	2019	Learning Disentangled Representations for Recommendation
LINE	WWW	2015	Large-scale Information Network Embedding
EASE	WWW	2019	Embarrassingly Shallow Autoencoders for Sparse Data
RaCT	ICLR	2020	RaCT: Towards Amortized Ranking-Critical Training for Collaborative Filtering.
RecVAE	WSDM	2020	RecVAE: A new variational autoencoder for Top-N recommendations with implicit feedback.
NNCF	CIKM	2017	A Neural Collaborative Filtering Model with Interaction-based Neighborhood.
ENMF	TOIS	2020	Efficient Neural Matrix Factorization without Sampling for Recommendation.
SLIMElastic	ICDM	2011	SLIM: Sparse Linear Methods for Top-N Recommender Systems
LR	WWW	2007	Predicting Clicks Estimating the Click-Through Rate for New Ads
FM	ICDM	2010	Factorization Machines
NFM	SIGIR	2017	Neural Factorization Machines for Sparse Predictive Analytics
DeepFM	IJCAI	2017	DeepFM A Factorization-Machine based Neural Network for CTR Prediction
xDeepFM	SIGKDD	2018	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
AFM	IJCAI	2017	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
FFM	RecSys	2016	Field-aware Factorization Machines for CTR Prediction
FwFM	WWW	2018	Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
FNN(DNN)	ECIR	2016	Deep Learning over Multi-field Categorical Data
PNN	ICDM	2016	Product-based Neural Networks for User Response Prediction
DSSM	CIKM	2013	Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
Wide&Deep	RecSys	2016	Wide & Deep Learning for Recommender Systems
DIN	SIGKDD	2018	Deep Interest Network for Click-Through Rate Prediction
DCN	ADKDD	2017	Deep & Cross Network for Ad Click Predictions
AutoInt	CIKM	2019	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
XGBoost	KDD	2016	XGBoost: A Scalable Tree Boosting System
LightGBM	NIPS	2017	LightGBM: A Highly Efficient Gradient Boosting Decision Tree
FPMC	WWW	2010	Factorizing Personalized Markov Chains for Next-Basket Recommendation
Improved GRU-Rec	DLRS	2016	Improved recurrent neural networks for session-based recommendations
NARM	CIKM	2017	Neural attentive session-based recommendation
STAMP	SIGKDD	2018	STAMP: short-term attention/memory priority model for session-based recommendation.
Caser	WSDM	2018	Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
NextItnet	WSDM	2019	A simple convolutional generative network for next item recommendation
TransRec	RecSys	2017	Translation-based Recommendation
SASRec	ICDM	2018	Self-Attentive Sequential Recommendation
BERT4Rec	CIKM	2019	BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
SRGNN	AAAI	2019	Session-Based Recommendation with Graph Neural Networks
GCSAN	IJCAI	2019	Graph contextualized self-attention network for session-based recommendation
GRU4RecF(+feature embedding)	RecSys	2016	Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
SASRecF(+feature embedding)	IJCAI	2019	Feature-level Deeper Self-Attention Network for Sequential Recommendation
FDSA	IJCAI	2019	Feature-level Deeper Self-Attention Network for Sequential Recommendation
S3Rec	CIKM	2020	S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
GRU+KG Embedding	-	-	-
KSR	SIGIR	2018	Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
TLSAN		2021	TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
Fossil	ICDM	2016	Fusing similarity models with Markov chains for sparse sequential recommendation
RepeatNet	AAAI	2019	A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
SHAN	IJCAI	2018	Sequential Recommender System based on Hierarchical Attention Network
NPE	IJCAI	2018	Neural Personalized Embedding for Collaborative Filtering
HRM	SIGIR	2015	Learning Hierarchical Representation Model for Next Basket Recommendation
HGN	SIGKDD	2019	Hierarchical Gating Networks for Sequential Recommendation
CKE	SIGKDD	2016	Collaborative Knowledge Base Embedding for Recommender Systems
CFKG	MDPI	2018	Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
KTUP	WWW	2019	Unifying Knowledge Graph Learning and Recommendation:Towards a Better Understanding of User Preferences
KGAT	SIGKDD	2019	KGAT Knowledge Graph Attention Network for Recommendation
RippleNet	CIKM	2018	RippleNet Propagating User Preferences on the Knowledge Graph for Recommender Systems.
MKR	WWW	2019	Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
KGCN	WWW	2019	Knowledge graph convolution networks for recommender systems
KGNN-LS	SIGKDD	2019	Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

List of Models (Google sheet)

       

Rating prediction	Paper
SlopeOne	Lemire and Maclachlan, Slope One Predictors for Online Rating-Based Collaborative Filtering, SDM'05.
PMF	Salakhutdinov and Mnih, Probabilistic Matrix Factorization, NIPS'08.
SoRec	Ma et al., SoRec: Social Recommendation Using Probabilistic Matrix Factorization, SIGIR'08.
SVD++	Koren, Factorization meets the neighborhood: a multifaceted collaborative filtering model, SIGKDD'08.
RSTE	Ma et al., Learning to Recommend with Social Trust Ensemble, SIGIR'09.
SVD	Y. Koren, Collaborative Filtering with Temporal Dynamics, SIGKDD'09.
SocialMF	Jamali and Ester, A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks, RecSys'10.
EE	Khoshneshin et al., Collaborative Filtering via Euclidean Embedding, RecSys'10.
SoReg	Ma et al., Recommender systems with social regularization, WSDM'11.
LOCABAL	Tang, Jiliang, et al. Exploiting local and global social context for recommendation, AAAI'13.
SREE	Li et al., Social Recommendation Using Euclidean embedding, IJCNN'17.
CUNE-MF	Zhang et al., Collaborative User Network Embedding for Social Recommender Systems, SDM'17.

                       

Item Ranking	Paper
BPR	Rendle et al., BPR: Bayesian Personalized Ranking from Implicit Feedback, UAI'09.
WRMF	Yifan Hu et al.Collaborative Filtering for Implicit Feedback Datasets, KDD'09.
SBPR	Zhao et al., Leveraing Social Connections to Improve Personalized Ranking for Collaborative Filtering, CIKM'14
ExpoMF	Liang et al., Modeling User Exposure in Recommendation, WWW''16.
CoFactor	Liang et al., Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence, RecSys'16.
TBPR	Wang et al. Social Recommendation with Strong and Weak Ties, CIKM'16'.
CDAE	Wu et al., Collaborative Denoising Auto-Encoders for Top-N Recommender Systems, WSDM'16'.
DMF	Xue et al., Deep Matrix Factorization Models for Recommender Systems, IJCAI'17'.
NeuMF	He et al. Neural Collaborative Filtering, WWW'17.
CUNE-BPR	Zhang et al., Collaborative User Network Embedding for Social Recommender Systems, SDM'17'.
IRGAN	Wang et al., IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models, SIGIR'17'.
SERec	Wang et al., Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation, AAAI'18'.
APR	He et al., Adversarial Personalized Ranking for Recommendation, SIGIR'18'.
IF-BPR	Yu et al. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation, CIKM'18'.
CFGAN	Chae et al. CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks, CIKM'18.
NGCF	Wang et al. Neural Graph Collaborative Filtering, SIGIR'19'.
DiffNet	Wu et al. A Neural Influence Diffusion Model for Social Recommendation, SIGIR'19'.
RSGAN	Yu et al. Generating Reliable Friends via Adversarial Learning to Improve Social Recommendation, ICDM'19'.
LightGCN	He et al. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, SIGIR'20.
DHCF	Ji et al. Dual Channel Hypergraph Collaborative Filtering, KDD'20.
ESRF	Yu et al. Enhancing Social Recommendation with Adversarial Graph Convlutional Networks, TKDE'20.
MHCN	Yu et al. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation, WWW'21.