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 1751–1800 of 6047 papers

Title	Date	Tasks	Status
Distributed Methods for High-dimensional and Large-scale Tensor Factorization	Oct 20, 2014	Recommendation SystemsVocal Bursts Intensity Prediction	—Unverified
Distributed Online Learning in Social Recommender Systems	Sep 26, 2013	Decision MakingRecommendation Systems	—Unverified
Distributed Online Learning via Cooperative Contextual Bandits	Aug 21, 2013	Event DetectionMulti-Armed Bandits	—Unverified
Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions	Mar 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Distributed Representations for Building Profiles of Users and Items from Text Reviews	Dec 1, 2016	Collaborative FilteringDecision Making	—Unverified
Aligning Black-box Language Models with Human Judgments	Feb 7, 2025	Recommendation Systems	—Unverified
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations	Jan 8, 2025	In-Context LearningRecommendation Systems	—Unverified
div2vec: Diversity-Emphasized Node Embedding	Sep 21, 2020	DiversityGraph Representation Learning	—Unverified
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning	May 25, 2023	Contrastive LearningInformation Retrieval	—Unverified
Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning	Sep 20, 2024	Decision MakingDiversity	—Unverified
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation	Sep 5, 2020	FairnessRecommendation Systems	—Unverified
A collaborative filtering model with heterogeneous neural networks for recommender systems	May 27, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems	May 20, 2024	Recommendation Systems	—Unverified
Diversifying Database Activity Monitoring with Bandits	Oct 23, 2019	DiversityEvent Detection	—Unverified
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation	Apr 9, 2025	Data PoisoningDiversity	—Unverified
Diversity-Aware k-Maximum Inner Product Search Revisited	Feb 21, 2024	DiversityRecommendation Systems	—Unverified
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao	Aug 1, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems	May 3, 2024	DiversityRecommendation Systems	—Unverified
Diversity Preference-Aware Link Recommendation for Online Social Networks	May 21, 2022	DiversityRecommendation Systems	—Unverified
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation	Mar 19, 2019	Deep Reinforcement LearningDiversity	—Unverified
Control Strategies for Recommendation Systems in Social Networks	Mar 10, 2024	Recommendation Systems	—Unverified
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective	Feb 6, 2023	FairnessRecommendation Systems	—Unverified
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation	Jan 9, 2014	Music RecommendationRecommendation Systems	—Unverified
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec	Jan 2, 2025	Language ModellingRecommendation Systems	—Unverified
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation	Nov 28, 2023	Contrastive LearningLanguage Modeling	—Unverified
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation	Aug 15, 2024	continuous-controlContinuous Control	—Unverified
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets	Jan 21, 2019	Recommendation SystemsRepresentation Learning	—Unverified
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks	Nov 5, 2024	Graph Neural NetworkRecommendation Systems	—Unverified
Do Better ImageNet Models Transfer Better... for Image Recommendation?	Jul 25, 2018	Recommendation SystemsTransfer Learning	—Unverified
Docent: A content-based recommendation system to discover contemporary art	Jul 12, 2022	Recommendation Systems	—Unverified
A Survey on Multi-Behavior Sequential Recommendation	Aug 30, 2023	Information RetrievalRecommendation Systems	—Unverified
Document-based Recommender System for Job Postings using Dense Representations	Jun 1, 2018	Document EmbeddingRecommendation Systems	—Unverified
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation	Nov 5, 2024	GPUparameter-efficient fine-tuning	—Unverified
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis	Oct 2, 2024	Recommendation Systems	—Unverified
Controlling privacy in recommender systems	Dec 1, 2014	Recommendation Systems	—Unverified
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations	Jul 26, 2016	Collaborative FilteringCPU	—Unverified
Contemporary Recommendation Systems on Big Data and Their Applications: A Survey	May 31, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems	Oct 7, 2021	Recommendation Systems	—Unverified
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	Jan 16, 2022	Graph AttentionMeta-Learning	—Unverified
Do KG-augmented Models Leverage Knowledge as Humans Do?	Jan 17, 2022	Knowledge GraphsQuestion Answering	—Unverified
A Survey on LLM-powered Agents for Recommender Systems	Feb 14, 2025	Language ModelingLanguage Modelling	—Unverified
Algorithms and Architecture for Real-time Recommendations at News UK	Sep 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Domain-Aware Cross-Attention for Cross-domain Recommendation	Jan 22, 2024	Recommendation Systems	—Unverified
Domain-to-Domain Translation Model for Recommender System	Dec 15, 2018	modelMulti-Domain Recommender Systems	—Unverified
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce	Jun 20, 2024	Recommendation SystemsRe-Ranking	—Unverified
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations	Jun 1, 2022	DiversityNews Recommendation	—Unverified
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network	Dec 25, 2024	Multimodal RecommendationRecommendation Systems	—Unverified
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging	Jun 22, 2023	Decision MakingDecision Making Under Uncertainty	—Unverified
Efficient and Effective Similarity Search over Bipartite Graphs	Dec 11, 2023	Recommendation Systems	—Unverified
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces	Jan 2, 2024	Contrastive LearningRecommendation Systems	—Unverified

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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	Self-Supervised Exchangeable Model	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	GC-MC	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	MGDCF	NDCG@20	0.06	—	Unverified
6	SimpleX	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	CRFR	Recall@1	0.04	—	Unverified
6	CR-Walker	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