Collaborative Filtering on Amazon-Book
Recall@20
- 2020-02-06 — LightGCN: Recall@20 0.0411
- 2021-08-08 — LT-OCF: Recall@20 0.0442
- 2022-11-17 — BSPM-LM: Recall@20 0.0733
- 2023-09-14 — SANSA: Recall@20 0.0768
| Rank | Model | Recall@20 | NDCG@20 | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | SANSA | 0.0768 | 0.0637 | Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering | glami/sansa | 2023 |
| 2 | RLAE-DAN | 0.0762 | 0.0630 | Why is Normalization Necessary for Linear Recommenders? | psm1206/dan | 2025 |
| 3 | BSPM-LM | 0.0733 | 0.0610 | Blurring-Sharpening Process Models for Collaborative Filtering | jeongwhanchoi/bspm | 2022 |
| 3 | BSPM-EM | 0.0733 | 0.0609 | Blurring-Sharpening Process Models for Collaborative Filtering | jeongwhanchoi/bspm | 2022 |
| 5 | LT-OCF | 0.0442 | 0.0341 | LT-OCF: Learnable-Time ODE-based Collaborative Filtering | jeongwhanchoi/lt-ocf · jeongwhanchoi/LT-OCF-Tutorial | 2021 |
| 6 | LightGCN | 0.0411 | 0.0315 | LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation | microsoft/recommenders · gusye1234/pytorch-light-gcn · PreferredAI/cornac · +15 | 2020 |