OpenCodePapers

recommendation-systems-on-amazon-book

Recommendation Systems
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PaperCodenDCG@20Recall@20HR@10NDCG@10HR@50NDCG@50ModelNameReleaseDate
Sapling Similarity: a performing and interpretable memory-based tool for recommendation✓ Link0.06470.0773SSCF2022-10-13
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering✓ Link0.06370.0768SANSA2023-09-14
Why is Normalization Necessary for Linear Recommenders?✓ Link0.06300.0762RLAE-DAN2025-04-08
Blurring-Sharpening Process Models for Collaborative Filtering✓ Link0.06100.0733BSPM-LM2022-11-17
Blurring-Sharpening Process Models for Collaborative Filtering✓ Link0.06090.0733BSPM-EM2022-11-17
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation✓ Link0.05740.0693Turbo-CF2024-04-22
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation✓ Link0.05560.0681Emb-GCN2021-10-28
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering✓ Link0.05130.0624NESCL2024-02-18
SimpleX: A Simple and Strong Baseline for Collaborative Filtering✓ Link0.04680.0583SimpleX2021-09-26
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering✓ Link0.04600.0566MGDCF2022-04-05
LT-OCF: Learnable-Time ODE-based Collaborative Filtering✓ Link0.03410.0442LT-OCF2021-08-08
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation✓ Link0.03150.0411LightGCN2020-02-06
Neural Graph Collaborative Filtering✓ Link0.02630.0344NGCF2019-05-20
Retrieval with Learned Similarities✓ Link0.06130.03500.12920.0498HSTU+MoL2024-07-22
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations✓ Link0.04780.02620.10820.0393HSTU2024-02-27
Self-Attentive Sequential Recommendation✓ Link0.03060.01640.07540.0260SASRec2018-08-20
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