Recommendation Systems

Recommendation System in AI Research

A Recommendation System is a specialized AI-driven model that analyzes user preferences and behaviors to suggest relevant content, products, or services. It is widely used in domains like e-commerce, streaming platforms, social media, and personalized learning.

AI research in recommendation systems focuses on:

Collaborative Filtering: Predicting user preferences based on similar users' choices.
Content-Based Filtering: Recommending items based on user history and item characteristics.
Hybrid Models: Combining multiple techniques for better accuracy.
Deep Learning & Transformers: Using neural networks and self-attention mechanisms for personalized recommendations.
Graph-Based Approaches: Leveraging knowledge graphs for relationship-aware recommendations.

Key challenges include data sparsity, scalability, and bias mitigation. Cutting-edge research explores reinforcement learning, explainability, and privacy-preserving methods to enhance recommendation systems.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 5101–5150 of 6047 papers

Title	Date	Tasks	Status	Hype
Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making	Apr 25, 2019	Decision MakingRecommendation Systems	—Unverified	0
Three Methods for Training on Bandit Feedback	Apr 24, 2019	Recommendation Systems	—Unverified	0
Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction	Apr 23, 2019	DecoderPosition	CodeCode Available	0
Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems	Apr 23, 2019	Decision MakingRecommendation Systems	—Unverified	0
Learning from Sets of Items in Recommender Systems	Apr 22, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Adaptive Matrix Completion for the Users and the Items in Tail	Apr 22, 2019	Collaborative FilteringLow-Rank Matrix Completion	CodeCode Available	0
A Neural Influence Diffusion Model for Social Recommendation	Apr 20, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall	Apr 17, 2019	ClusteringInformation Retrieval	CodeCode Available	2
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization	Apr 16, 2019	Dimensionality ReductionRecommendation Systems	—Unverified	0
An Evaluation Framework for Interactive Recommender System	Apr 16, 2019	Recommendation Systems	—Unverified	0
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks	Apr 15, 2019	News RecommendationRecommendation Systems	CodeCode Available	0
Personalized Re-ranking for Recommendation	Apr 15, 2019	Recommendation SystemsRe-Ranking	CodeCode Available	1
A Novel Hybrid Sequential Model for Review-based Rating Prediction	Apr 14, 2019	Multi-Domain Recommender SystemsRecommendation Systems	—Unverified	0
Pre-training of Context-aware Item Representation for Next Basket Recommendation	Apr 14, 2019	Next-basket recommendationRecommendation Systems	—Unverified	0
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer	Apr 14, 2019	Recommendation SystemsSequential Recommendation	CodeCode Available	0
N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network	Apr 12, 2019	ClusteringRecommendation Systems	—Unverified	0
Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders	Apr 11, 2019	Activity PredictionProduct Recommendation	—Unverified	0
A Model for Using Physiological Conditions for Proactive Tourist Recommendations	Apr 10, 2019	Recommendation Systems	—Unverified	0
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction	Apr 9, 2019	Click-Through Rate PredictionDeep Learning	CodeCode Available	0
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions	Apr 8, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems	Apr 8, 2019	GPURecommendation Systems	—Unverified	0
Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start	Apr 8, 2019	ArticlesRecommendation Systems	CodeCode Available	0
Cluster Developing 1-Bit Matrix Completion	Apr 7, 2019	ClusteringMatrix Completion	—Unverified	0
SMURFF: a High-Performance Framework for Matrix Factorization	Apr 4, 2019	Activity PredictionRecommendation Systems	—Unverified	0
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search	Apr 3, 2019	ClusteringFace Recognition	—Unverified	0
A Survey on Practical Applications of Multi-Armed and Contextual Bandits	Apr 2, 2019	Information RetrievalMulti-Armed Bandits	—Unverified	0
Flavour Enhanced Food Recommendation	Apr 2, 2019	Food recommendationRecommendation Systems	—Unverified	0
Enhancing the long-term performance of recommender system	Apr 1, 2019	DiversityRecommendation Systems	—Unverified	0
Predictability of diffusion-based recommender systems	Mar 29, 2019	Recommendation Systems	—Unverified	0
Invariance-Preserving Localized Activation Functions for Graph Neural Networks	Mar 29, 2019	Authorship AttributionRecommendation Systems	—Unverified	0
Meta-Learning surrogate models for sequential decision making	Mar 28, 2019	Bayesian OptimisationDecision Making	—Unverified	0
Recommendation Systems for Tourism Based on Social Networks: A Survey	Mar 28, 2019	Recommendation SystemsSurvey	—Unverified	0
Link Stream Graph for Temporal Recommendations	Mar 27, 2019	Recommendation Systems	—Unverified	0
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective	Mar 27, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems	Mar 26, 2019	Domain AdaptationRecommendation Systems	—Unverified	0
Fiducia: A Personalized Food Recommender System for Zomato	Mar 25, 2019	Recommendation Systems	—Unverified	0
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems	Mar 25, 2019	Collaborative FilteringGraph Attention	CodeCode Available	0
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction	Mar 22, 2019	Hierarchical Reinforcement LearningRecommendation Systems	—Unverified	0
Validation of a recommender system for prompting omitted foods in online dietary assessment surveys	Mar 20, 2019	Recommendation Systems	—Unverified	0
Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets	Mar 20, 2019	Data SummarizationDiversity	—Unverified	0
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation	Mar 19, 2019	Deep Reinforcement LearningDiversity	—Unverified	0
Personalized Neural Embeddings for Collaborative Filtering with Text	Mar 19, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Knowledge Graph Convolutional Networks for Recommender Systems	Mar 18, 2019	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	1
Knowledge-aware Complementary Product Representation Learning	Mar 16, 2019	Multi-Task LearningRecommendation Systems	—Unverified	0
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph	Mar 9, 2019	Explainable RecommendationKnowledge Graphs	CodeCode Available	0
Generative Graph Convolutional Network for Growing Graphs	Mar 6, 2019	Graph GenerationGraph Reconstruction	—Unverified	0
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture	Mar 3, 2019	Fine-Grained Visual RecognitionImage Retrieval	CodeCode Available	0
Fairness in Recommendation Ranking through Pairwise Comparisons	Mar 2, 2019	FairnessRecommendation Systems	—Unverified	0
Representation Learning for Recommender Systems with Application to the Scientific Literature	Feb 28, 2019	Network EmbeddingRecommendation Systems	—Unverified	0
Degenerate Feedback Loops in Recommender Systems	Feb 27, 2019	Recommendation Systems	—Unverified	0

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All datasets MovieLens 1M Amazon-Book MovieLens 100K MovieLens 20M MovieLens 10M Gowalla Yelp2018 Netflix Douban Monti ReDial Amazon Beauty Douban

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	KTUP (soft)	HR@10	0.89	—	Unverified
2	Factorization with dictionary learning	RMSE	0.87	—	Unverified
3	Factorized EAE	RMSE	0.86	—	Unverified
4	U-CFN	RMSE	0.86	—	Unverified
5	IGMC	RMSE	0.86	—	Unverified
6	FedGNN	RMSE	0.85	—	Unverified
7	NNMF	RMSE	0.84	—	Unverified
8	BST	RMSE	0.84	—	Unverified
9	FedPerGNN	RMSE	0.84	—	Unverified
10	GHRS	RMSE	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LT-OCF	Recall@20	0.19	—	Unverified
2	SSCF	nDCG@20	0.06	—	Unverified
3	SANSA	nDCG@20	0.06	—	Unverified
4	RLAE-DAN	nDCG@20	0.06	—	Unverified
5	HSTU+MoL	HR@10	0.06	—	Unverified
6	BSPM-LM	nDCG@20	0.06	—	Unverified
7	BSPM-EM	nDCG@20	0.06	—	Unverified
8	Turbo-CF	nDCG@20	0.06	—	Unverified
9	Emb-GCN	nDCG@20	0.06	—	Unverified
10	NESCL	nDCG@20	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GMC	RMSE (u1 Splits)	1	—	Unverified
2	GRALS	RMSE (u1 Splits)	0.95	—	Unverified
3	sRGCNN	RMSE (u1 Splits)	0.93	—	Unverified
4	WMLFF	RMSE (u1 Splits)	0.93	—	Unverified
5	FedGNN	RMSE	0.92	—	Unverified
6	Factorized EAE	RMSE (u1 Splits)	0.92	—	Unverified
7	GRAEM / KPMF	RMSE (u1 Splits)	0.92	—	Unverified
8	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	Self-Supervised Exchangeable Model	RMSE (u1 Splits)	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HyperML	nDCG@10	0.64	—	Unverified
2	LRML	nDCG@10	0.62	—	Unverified
3	CML	nDCG@10	0.53	—	Unverified
4	Multi-Gradient Descent	Recall@20	0.42	—	Unverified
5	RecVAE	Recall@20	0.41	—	Unverified
6	VASP	Recall@20	0.41	—	Unverified
7	H+Vamp Gated	Recall@20	0.41	—	Unverified
8	RaCT	Recall@20	0.4	—	Unverified
9	Mult-VAE PR	Recall@20	0.4	—	Unverified
10	EASE	Recall@20	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	U-RBM	RMSE	0.82	—	Unverified
2	FedGNN	RMSE	0.8	—	Unverified
3	Factorization with dictionary learning	RMSE	0.8	—	Unverified
4	U-CFN	RMSE	0.8	—	Unverified
5	FedPerGNN	RMSE	0.79	—	Unverified
6	I-AutoRec	RMSE	0.78	—	Unverified
7	GC-MC	RMSE	0.78	—	Unverified
8	I-CFN	RMSE	0.78	—	Unverified
9	SGD MF	RMSE	0.77	—	Unverified
10	CF-NADE	RMSE	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvNCF	nDCG@20	0.6	—	Unverified
2	NESCL	nDCG@20	0.16	—	Unverified
3	RLAE-DAN	nDCG@20	0.16	—	Unverified
4	BSPM-EM	nDCG@20	0.16	—	Unverified
5	MGDCF	nDCG@20	0.16	—	Unverified
6	Emb-GCN	nDCG@20	0.16	—	Unverified
7	LT-OCF	nDCG@20	0.16	—	Unverified
8	BSPM-LM	nDCG@20	0.16	—	Unverified
9	SimpleX	nDCG@20	0.16	—	Unverified
10	LightGCN	nDCG@20	0.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NESCL	NDCG@20	0.06	—	Unverified
2	BSPM-EM	NDCG@20	0.06	—	Unverified
3	RLAE-DAN	NDCG@20	0.06	—	Unverified
4	BSPM-LM	NDCG@20	0.06	—	Unverified
5	SimpleX	NDCG@20	0.06	—	Unverified
6	MGDCF	NDCG@20	0.06	—	Unverified
7	Turbo-CF	NDCG@20	0.06	—	Unverified
8	LT-OCF	NDCG@20	0.05	—	Unverified
9	SSCF	NDCG@20	0.05	—	Unverified
10	LightGCN	NDCG@20	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H+Vamp Gated	nDCG@100	0.41	—	Unverified
2	RecVAE	nDCG@100	0.39	—	Unverified
3	EASE	nDCG@100	0.39	—	Unverified
4	RaCT	nDCG@100	0.39	—	Unverified
5	Mult-VAE PR	nDCG@100	0.39	—	Unverified
6	Mult-DAE	nDCG@100	0.38	—	Unverified
7	∞-AE	nDCG@100	0.37	—	Unverified
8	LRML	nDCG@10	0.36	—	Unverified
9	CML	nDCG@10	0.29	—	Unverified
10	RATE-CSE	Recall@10	0.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	0.83	—	Unverified
2	sRGCNN	RMSE	0.8	—	Unverified
3	Factorized EAE	RMSE	0.74	—	Unverified
4	GC-MC	RMSE	0.73	—	Unverified
5	GRAEM / KPMF	RMSE	0.73	—	Unverified
6	MG-GAT	RMSE	0.73	—	Unverified
7	IGMC	RMSE	0.72	—	Unverified
8	GLocal-K	RMSE	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UCCR	Recall@10	0.22	—	Unverified
2	KERL	Recall@1	0.06	—	Unverified
3	C2CRS	Recall@1	0.05	—	Unverified
4	UniCRS	Recall@1	0.05	—	Unverified
5	CR-Walker	Recall@1	0.04	—	Unverified
6	CRFR	Recall@1	0.04	—	Unverified
7	KGSF	Recall@1	0.04	—	Unverified
8	KBRD	Recall@1	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CARCA Abs + Con	Hit@10	0.68	—	Unverified
2	ProxyRCA	Hit@10	0.63	—	Unverified
3	CARCA-Rotatory	Hit@10	0.62	—	Unverified
4	CARCA	Hit@10	0.58	—	Unverified
5	SSE-PT	Hit@10	0.5	—	Unverified
6	SASRec	Hit@10	0.49	—	Unverified
7	HetroFair	MAP@20	0.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	∞-AE	AUC	0.95	—	Unverified
2	FedGNN	RMSE	0.79	—	Unverified
3	FedPerGNN	RMSE	0.78	—	Unverified
4	GRALS	RMSE	0.71	—	Unverified
5	U-CFN	RMSE	0.7	—	Unverified
6	I-CFN	RMSE	0.69	—	Unverified
7	DGRec	NDCG	0.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	1.24	—	Unverified
2	sRGCNN	RMSE	0.93	—	Unverified
3	GC-MC	RMSE	0.92	—	Unverified
4	Factorized EAE	RMSE	0.91	—	Unverified
5	GRAEM	RMSE	0.89	—	Unverified
6	MG-GAT	RMSE	0.88	—	Unverified
7	IGMC	RMSE	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EASE	nDCG@100	0.39	—	Unverified
2	SANSA	nDCG@100	0.39	—	Unverified
3	RecVAE	nDCG@100	0.33	—	Unverified
4	RaCT	nDCG@100	0.32	—	Unverified
5	Mult-VAE PR	nDCG@100	0.32	—	Unverified
6	Mult-DAE	nDCG@100	0.31	—	Unverified
7	CML	Recall@50	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLSAN	AUC	0.95	—	Unverified
2	ProxyRCA	Hit@10	0.81	—	Unverified
3	CARCA-Rotatory + Con.	Hit@10	0.81	—	Unverified
4	CARCA	Hit@10	0.78	—	Unverified
5	SSE-PT	Hit@10	0.78	—	Unverified
6	SASRec	Hit@10	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	38.04	—	Unverified
2	sRGCNN	RMSE	22.41	—	Unverified
3	GC-MC	RMSE	20.5	—	Unverified
4	Factorized EAE	RMSE	20	—	Unverified
5	IGMC	RMSE	19.1	—	Unverified
6	MG-GAT	RMSE	18.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAERS	AUC	0.82	—	Unverified
2	RMHA-4	Hit@10	0.77	—	Unverified
3	ProxyRCA	HitRatio@ 10 (100 Neg. Samples)	0.66	—	Unverified
4	CARCA	HitRatio@ 10 (100 Neg. Samples)	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphRec	MAE	0.82	—	Unverified
2	NSCR (Wang et al., 2017)	MAE	0.8	—	Unverified
3	DANSER	MAE	0.78	—	Unverified
4	HetroFair	MAP@20	0.04	—	Unverified