GLocal-K: Global and Local Kernels for Recommender Systems | ✓ Link | 0.8227 | | | | | | | | | | GLocal-K | 2021-08-27 |
Kernelized Synaptic Weight Matrices | ✓ Link | 0.824 | | | | | | | | | | Sparse FC | 2018-07-01 |
A Neural Autoregressive Approach to Collaborative Filtering | ✓ Link | 0.829 | | | | | | | | | | CF-NADE | 2016-05-31 |
Inductive Matrix Completion Using Graph Autoencoder | ✓ Link | 0.829 | | | | | | | | | | IMC-GAE | 2021-08-25 |
AutoRec: Autoencoders Meet Collaborative Filtering | ✓ Link | 0.831 | | | | | | | | | | I-AutoRec | 2015-05-18 |
Graph Convolutional Matrix Completion | ✓ Link | 0.832 | | | | | | | | | | GC-MC | 2017-06-07 |
Hybrid Recommender System based on Autoencoders | ✓ Link | 0.8321 | | | | | | | | | | I-CFN | 2016-06-24 |
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation | ✓ Link | 0.838 | | | | 0.792 | | | | | | GHRS | 2021-11-06 |
A federated graph neural network framework for privacy-preserving personalization | ✓ Link | 0.839 | | | | | | | | | | FedPerGNN | 2022-06-02 |
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba | ✓ Link | 0.8401 | | | | | | | | | | BST | 2019-05-15 |
Neural Network Matrix Factorization | ✓ Link | 0.843 | | | | | | | | | | NNMF | 2015-11-19 |
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation | | 0.848 | | | | | | | | | | FedGNN | 2021-02-09 |
Inductive Matrix Completion Based on Graph Neural Networks | ✓ Link | 0.857 | | | | | | | | | | IGMC | 2019-04-26 |
Hybrid Recommender System based on Autoencoders | ✓ Link | 0.8574 | | | | | | | | | | U-CFN | 2016-06-24 |
Deep Models of Interactions Across Sets | ✓ Link | 0.860 | | | | | | | | | | Factorized EAE | 2018-03-07 |
Dictionary Learning for Massive Matrix Factorization | ✓ Link | 0.866 | | | | | | | | | | Factorization with dictionary learning | 2016-05-03 |
SSE-PT: Sequential Recommendation Via Personalized Transformer | ✓ Link | | 0.6292 | 0.8389 | | | | | | | | SSE-PT | 2019-09-25 |
Self-Attentive Sequential Recommendation | ✓ Link | | 0.5905 | 0.8245 | | | | | | 0.2821 | 0.1603 | SASRec | 2018-08-20 |
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems | | | 0.5620 | 0.7563 | | | | | | | | HyperML | 2018-09-05 |
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking | ✓ Link | | 0.5453 | 0.7397 | | | | | | | | LRML | 2017-07-17 |
Collaborative Metric Learning | ✓ Link | | 0.5413 | 0.7216 | | | | | | | | CML | 2017-04-01 |
Ekar: An Explainable Method for Knowledge Aware Recommendation | ✓ Link | | 0.3699 | 0.1994 | | | | | | | | Ekar* | 2019-06-22 |
SVD-AE: Simple Autoencoders for Collaborative Filtering | ✓ Link | | 0.3355 | 0.3179 | | | 0.4257 | 0.5933 | 0.0322 | | | SVD-AE | 2024-05-08 |
Infinite Recommendation Networks: A Data-Centric Approach | ✓ Link | | 0.3282 | 0.3151 | | | 0.4253 | 0.6005 | 0.0322 | | | ∞-AE | 2022-06-03 |
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences | ✓ Link | | | 0.8903 | 0.6992 | | | | | | | KTUP (soft) | 2019-02-17 |
Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud | ✓ Link | | | | | 0.731 | | | | | | Context-Aware Pipeline | 2021-12-30 |
Sequential Variational Autoencoders for Collaborative Filtering | ✓ Link | | | | | | 0.2993 | | | | | SVAE | 2018-11-25 |
Retrieval with Learned Similarities | ✓ Link | | | | | | | | | .3412 | .1979 | HSTU+MoL | 2024-07-22 |
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations | ✓ Link | | | | | | | | | 0.3294 | 0.1893 | HSTU | 2024-02-27 |
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer | ✓ Link | | | | | | | | | 0.2843 | 0.1537 | BERT4Rec | 2019-04-14 |
Session-based Recommendations with Recurrent Neural Networks | ✓ Link | | | | | | | | | 0.2811 | 0.1648 | GRU4Rec | 2015-11-21 |