ML Research Wiki / Benchmarks / Recommendation Systems / Yelp2018

Yelp2018

Recommendation Systems Benchmark

Performance Over Time

📊 Showing 11 results | 📏 Metric: NDCG@20

Top Performing Models

Rank Model Paper NDCG@20 Date Code
1 NESCL Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering 0.06 2024-02-18 📦 PeiJieSun/NESCL
2 BSPM-EM Blurring-Sharpening Process Models for Collaborative Filtering 0.06 2022-11-17 📦 jeongwhanchoi/bspm
3 RLAE-DAN Why is Normalization Necessary for Linear Recommenders? 0.06 2025-04-08 📦 psm1206/dan
4 BSPM-LM Blurring-Sharpening Process Models for Collaborative Filtering 0.06 2022-11-17 📦 jeongwhanchoi/bspm
5 SimpleX SimpleX: A Simple and Strong Baseline for Collaborative Filtering 0.06 2021-09-26 📦 reczoo/RecZoo
6 MGDCF MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering 0.06 2022-04-05 📦 CrawlScript/Torch-MGDCF 📦 hujunxianligong/MGDCF
7 Turbo-CF Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation 0.06 2024-04-22 📦 jindeok/turbo-cf
8 LT-OCF LT-OCF: Learnable-Time ODE-based Collaborative Filtering 0.05 2021-08-08 📦 jeongwhanchoi/lt-ocf 📦 jeongwhanchoi/LT-OCF-Tutorial
9 SSCF Sapling Similarity: a performing and interpretable memory-based tool for recommendation 0.05 2022-10-13 📦 giamba95/saplingsimilarity
10 LightGCN LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation 0.05 2020-02-06 📦 microsoft/recommenders 📦 gusye1234/pytorch-light-gcn 📦 PreferredAI/cornac

All Papers (11)