SOTAVerified

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

Showing 12511300 of 6047 papers

TitleStatusHype
Sparse Data Generation Using Diffusion Models0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents0
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation0
Online Clustering of Dueling Bandits0
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling0
Personalized Denoising Implicit Feedback for Robust Recommender SystemCode0
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking0
Collaborative Diffusion Model for Recommender System0
HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback0
Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility StudyCode0
Value Function Decomposition in Markov Recommendation Process0
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks0
Irony Detection, Reasoning and Understanding in Zero-shot Learning0
Hypergraph Diffusion for High-Order Recommender Systems0
Secure Federated Graph-Filtering for Recommender Systems0
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System0
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations0
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System0
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation0
Generating Negative Samples for Multi-Modal Recommendation0
Multi-Grained Patch Training for Efficient LLM-based RecommendationCode0
Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics0
Pre-train and Fine-tune: Recommenders as Large Models0
Graph Feedback Bandits on Similar Arms: With and Without Graph StructuresCode0
Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion0
Consistent spectral clustering in sparse tensor block models0
Graph Neural Controlled Differential Equations For Collaborative FilteringCode0
Large Language Model driven Policy Exploration for Recommender Systems0
Designing and Evaluating an Educational Recommender System with Different Levels of User Control0
Multi-Tenant SmartNICs for In-Network Preprocessing of Recommender Systems0
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based RecommendationCode0
A Contrastive Framework with User, Item and Review Alignment for Recommendation0
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender SystemsCode0
Revisiting Language Models in Neural News Recommender SystemsCode0
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation0
Enhancing User Intent for Recommendation Systems via Large Language Models0
A Worrying Reproducibility Study of Intent-Aware Recommendation Models0
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework0
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information0
Off-policy Evaluation for Payments at Adyen0
Neural Risk-sensitive Satisficing in Contextual Bandits0
UFGraphFR: An attempt at a federated recommendation system based on user text characteristicsCode0
Impatient Bandits: Optimizing for the Long-Term Without Delay0
Dataset-Agnostic Recommender Systems0
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel TrainingCode0
Graph Contrastive Learning on Multi-label Classification for Recommendations0
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation0
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer0
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration0
Text2Playlist: Generating Personalized Playlists from Text on DeezerCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KTUP (soft)HR@100.89Unverified
2Factorization with dictionary learningRMSE0.87Unverified
3Factorized EAERMSE0.86Unverified
4U-CFNRMSE0.86Unverified
5IGMCRMSE0.86Unverified
6FedGNNRMSE0.85Unverified
7NNMFRMSE0.84Unverified
8BSTRMSE0.84Unverified
9FedPerGNNRMSE0.84Unverified
10GHRSRMSE0.84Unverified
#ModelMetricClaimedVerifiedStatus
1LT-OCFRecall@200.19Unverified
2SSCFnDCG@200.06Unverified
3SANSAnDCG@200.06Unverified
4RLAE-DANnDCG@200.06Unverified
5HSTU+MoLHR@100.06Unverified
6BSPM-LMnDCG@200.06Unverified
7BSPM-EMnDCG@200.06Unverified
8Turbo-CFnDCG@200.06Unverified
9Emb-GCNnDCG@200.06Unverified
10NESCLnDCG@200.05Unverified
#ModelMetricClaimedVerifiedStatus
1GMCRMSE (u1 Splits)1Unverified
2GRALSRMSE (u1 Splits)0.95Unverified
3sRGCNNRMSE (u1 Splits)0.93Unverified
4WMLFFRMSE (u1 Splits)0.93Unverified
5FedGNNRMSE0.92Unverified
6Factorized EAERMSE (u1 Splits)0.92Unverified
7GRAEM / KPMFRMSE (u1 Splits)0.92Unverified
8Self-Supervised Exchangeable ModelRMSE (u1 Splits)0.91Unverified
9FedPerGNNRMSE0.91Unverified
10GC-MCRMSE (u1 Splits)0.91Unverified
#ModelMetricClaimedVerifiedStatus
1HyperMLnDCG@100.64Unverified
2LRMLnDCG@100.62Unverified
3CMLnDCG@100.53Unverified
4Multi-Gradient DescentRecall@200.42Unverified
5RecVAERecall@200.41Unverified
6VASPRecall@200.41Unverified
7H+Vamp GatedRecall@200.41Unverified
8RaCTRecall@200.4Unverified
9Mult-VAE PRRecall@200.4Unverified
10EASERecall@200.39Unverified
#ModelMetricClaimedVerifiedStatus
1U-RBMRMSE0.82Unverified
2FedGNNRMSE0.8Unverified
3Factorization with dictionary learningRMSE0.8Unverified
4U-CFNRMSE0.8Unverified
5FedPerGNNRMSE0.79Unverified
6I-AutoRecRMSE0.78Unverified
7GC-MCRMSE0.78Unverified
8I-CFNRMSE0.78Unverified
9SGD MFRMSE0.77Unverified
10CF-NADERMSE0.77Unverified
#ModelMetricClaimedVerifiedStatus
1ConvNCFnDCG@200.6Unverified
2NESCLnDCG@200.16Unverified
3RLAE-DANnDCG@200.16Unverified
4BSPM-EMnDCG@200.16Unverified
5MGDCFnDCG@200.16Unverified
6Emb-GCNnDCG@200.16Unverified
7LT-OCFnDCG@200.16Unverified
8BSPM-LMnDCG@200.16Unverified
9SimpleXnDCG@200.16Unverified
10LightGCNnDCG@200.16Unverified
#ModelMetricClaimedVerifiedStatus
1NESCLNDCG@200.06Unverified
2BSPM-EMNDCG@200.06Unverified
3RLAE-DANNDCG@200.06Unverified
4BSPM-LMNDCG@200.06Unverified
5MGDCFNDCG@200.06Unverified
6SimpleXNDCG@200.06Unverified
7Turbo-CFNDCG@200.06Unverified
8LT-OCFNDCG@200.05Unverified
9SSCFNDCG@200.05Unverified
10LightGCNNDCG@200.05Unverified
#ModelMetricClaimedVerifiedStatus
1H+Vamp GatednDCG@1000.41Unverified
2RecVAEnDCG@1000.39Unverified
3EASEnDCG@1000.39Unverified
4RaCTnDCG@1000.39Unverified
5Mult-VAE PRnDCG@1000.39Unverified
6Mult-DAEnDCG@1000.38Unverified
7∞-AEnDCG@1000.37Unverified
8LRMLnDCG@100.36Unverified
9CMLnDCG@100.29Unverified
10RATE-CSERecall@100.2Unverified
#ModelMetricClaimedVerifiedStatus
1GRALSRMSE0.83Unverified
2sRGCNNRMSE0.8Unverified
3Factorized EAERMSE0.74Unverified
4GC-MCRMSE0.73Unverified
5GRAEM / KPMFRMSE0.73Unverified
6MG-GATRMSE0.73Unverified
7IGMCRMSE0.72Unverified
8GLocal-KRMSE0.72Unverified
#ModelMetricClaimedVerifiedStatus
1UCCRRecall@100.22Unverified
2KERLRecall@10.06Unverified
3C2CRSRecall@10.05Unverified
4UniCRSRecall@10.05Unverified
5CRFRRecall@10.04Unverified
6CR-WalkerRecall@10.04Unverified
7KGSFRecall@10.04Unverified
8KBRDRecall@10.03Unverified
#ModelMetricClaimedVerifiedStatus
1CARCA Abs + ConHit@100.68Unverified
2ProxyRCAHit@100.63Unverified
3CARCA-RotatoryHit@100.62Unverified
4CARCAHit@100.58Unverified
5SSE-PTHit@100.5Unverified
6SASRecHit@100.49Unverified
7HetroFairMAP@200.14Unverified
#ModelMetricClaimedVerifiedStatus
1∞-AEAUC0.95Unverified
2FedGNNRMSE0.79Unverified
3FedPerGNNRMSE0.78Unverified
4GRALSRMSE0.71Unverified
5U-CFNRMSE0.7Unverified
6I-CFNRMSE0.69Unverified
7DGRecNDCG0.2Unverified
#ModelMetricClaimedVerifiedStatus
1GRALSRMSE1.24Unverified
2sRGCNNRMSE0.93Unverified
3GC-MCRMSE0.92Unverified
4Factorized EAERMSE0.91Unverified
5GRAEMRMSE0.89Unverified
6MG-GATRMSE0.88Unverified
7IGMCRMSE0.87Unverified
#ModelMetricClaimedVerifiedStatus
1EASEnDCG@1000.39Unverified
2SANSAnDCG@1000.39Unverified
3RecVAEnDCG@1000.33Unverified
4RaCTnDCG@1000.32Unverified
5Mult-VAE PRnDCG@1000.32Unverified
6Mult-DAEnDCG@1000.31Unverified
7CMLRecall@500.25Unverified
#ModelMetricClaimedVerifiedStatus
1TLSANAUC0.95Unverified
2ProxyRCAHit@100.81Unverified
3CARCA-Rotatory + Con.Hit@100.81Unverified
4CARCAHit@100.78Unverified
5SSE-PTHit@100.78Unverified
6SASRecHit@100.74Unverified
#ModelMetricClaimedVerifiedStatus
1GRALSRMSE38.04Unverified
2sRGCNNRMSE22.41Unverified
3GC-MCRMSE20.5Unverified
4Factorized EAERMSE20Unverified
5IGMCRMSE19.1Unverified
6MG-GATRMSE18.9Unverified
#ModelMetricClaimedVerifiedStatus
1SAERSAUC0.82Unverified
2RMHA-4Hit@100.77Unverified
3ProxyRCAHitRatio@ 10 (100 Neg. Samples)0.66Unverified
4CARCAHitRatio@ 10 (100 Neg. Samples)0.59Unverified
#ModelMetricClaimedVerifiedStatus
1GraphRecMAE0.82Unverified
2NSCR (Wang et al., 2017)MAE0.8Unverified
3DANSERMAE0.78Unverified
4HetroFairMAP@200.04Unverified