OpenCodePapers

recommendation-systems-on-yelp2018

Recommendation Systems
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PaperCodeNDCG@20Recall@20HR@10HR@100PSP@10nDCG@10nDCG@100ModelNameReleaseDate
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering✓ Link0.06110.0743NESCL2024-02-18
Blurring-Sharpening Process Models for Collaborative Filtering✓ Link0.05930.0720BSPM-EM2022-11-17
Why is Normalization Necessary for Linear Recommenders?✓ Link0.05870.0706RLAE-DAN2025-04-08
Blurring-Sharpening Process Models for Collaborative Filtering✓ Link0.05840.0713BSPM-LM2022-11-17
SimpleX: A Simple and Strong Baseline for Collaborative Filtering✓ Link0.05750.0701SimpleX2021-09-26
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering✓ Link0.05750.0699MGDCF2022-04-05
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation✓ Link0.05740.0693Turbo-CF2024-04-22
LT-OCF: Learnable-Time ODE-based Collaborative Filtering✓ Link0.05490.0671LT-OCF2021-08-08
Sapling Similarity: a performing and interpretable memory-based tool for recommendation✓ Link0.05420.0664SSCF2022-10-13
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation✓ Link0.05300.0649LightGCN2020-02-06
SVD-AE: Simple Autoencoders for Collaborative Filtering✓ Link0.0490.1979450.04740.1022SVD-AE2024-05-08
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