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 1–10 of 6047 papers
All datasetsMovieLens 1MAmazon-BookMovieLens 100KMovieLens 20MMovieLens 10MGowallaYelp2018NetflixDouban MontiReDialAmazon BeautyDouban
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 | 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 | 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 | 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 |