GLocal-K: Global and Local Kernels for Recommender Systems

GLocal-K: Global and Local Kernels for Recommender Systems

27 August 2021

Bernd Burgstaller

Papers citing "GLocal-K: Global and Local Kernels for Recommender Systems"

10 / 10 papers shown

Title
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System Shangde Gao Ke Liu Yichao Fu Hongxia Xu Jian Wu 45 0 0 20 Apr 2025
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System Amirhossein Dadashzadeh Taromi Sina Heydari Mohsen Hooshmand Majid Ramezani MLAU CML 47 0 0 10 Feb 2025
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction Shuai Zhong Zengtong Tang Di Wu 31 0 0 29 Jul 2024
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders Ruixuan Sun Xinyi Wu A K Akella Ruoyan Kong Bart Knijnenburg Joseph Konstan 19 1 0 21 Jan 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 56 2 0 19 Jan 2024
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations Zhihang Yu Shu Wang Yunqiang Zhu Wen Yuan Xiaoliang Dai Zhiqiang Zou 18 1 0 21 Sep 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction Cheng Liang Teng Huang Yi He Song Deng Di Wu Xin Luo 25 0 0 20 Dec 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 15 0 0 09 Sep 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 29 20 0 11 Apr 2022