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 57015750 of 6047 papers

TitleStatusHype
Using the Context of User Feedback in Recommender Systems0
Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image0
You Are What You Eat... Listen to, Watch, and Read0
Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation0
Recommender Engine for Continuous Time Quantum Monte Carlo Methods0
Proportional Rankings0
Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction0
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions0
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities0
Linear Relaxations for Finding Diverse Elements in Metric Spaces0
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering0
Fast Distributed Submodular Cover: Public-Private Data Summarization0
Says Who ? Identification of Expert versus Layman Critics' Reviews of Documentary Films0
User Classification with Multiple Textual Perspectives0
Distributed Representations for Building Profiles of Users and Items from Text Reviews0
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed0
A Graph-based Push Service Platform0
Co-adaptive learning over a countable space0
Split-door criterion: Identification of causal effects through auxiliary outcomesCode0
A Business Zone Recommender System Based on Facebook and Urban Planning Data0
Embedding Projector: Interactive Visualization and Interpretation of Embeddings0
Chiron: A Robust Recommendation System with Graph Regularizer0
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks0
Obfuscating Gender in Social Media Writing0
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation0
Learning to Generate Textual Data0
Product-based Neural Networks for User Response PredictionCode0
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations0
Using Artificial Intelligence to Identify State Secrets0
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier0
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint0
Integrating Topic Models and Latent Factors for Recommendation0
A recommender system for efficient discovery of new anomalies in large-scale access logs0
Novelty Learning via Collaborative Proximity Filtering0
CuMF_SGD: Fast and Scalable Matrix FactorizationCode0
Unorganized Malicious Attacks Detection0
Context-Aware Online Learning for Course Recommendation of MOOC Big Data0
A Greedy Approach for Budgeted Maximum Inner Product Search0
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation0
Top-N Recommendation on GraphsCode0
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities0
Quantum Recommendation Systems0
Conversational Recommendation System with Unsupervised Learning0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference0
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends0
A Flexible Recommendation System for Cable TV0
A Large-Scale Characterization of User Behaviour in Cable TV0
Noisy Inductive Matrix Completion Under Sparse Factor Models0
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation0
Relational Models0
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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