Convolutional Gaussian Embeddings for Personalized Recommendation with
Uncertainty

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

19 June 2020

Yanghua Xiao

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Papers citing "Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty"

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Title
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 73 0 0 14 Apr 2025
Unified Uncertainty Estimation for Cognitive Diagnosis Models Fei-Yue Wang Qi Liu Enhong Chen Chuanren Liu Zhenya Huang Jinze Wu Shijin Wang 109 4 0 09 Mar 2024
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling Junwen Zhang Yin Zhang BDL 49 3 0 13 Oct 2023
Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation Zhao-Yang Liu Liucheng Sun Chenwei Weng Qijin Chen Chengfu Huo 92 1 0 25 Jul 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer Yuchen Zhuang Xin Shen Yan Zhao Chaosheng Dong Ming Wang Jin Li Chao Zhang AI4TS 64 3 0 25 Jun 2023
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding Ryotaro Shimizu Masanari Kimura M. Goto 125 3 0 28 Oct 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation Chenxu Wang Fuli Feng Yang Zhang Qifan Wang Xu Hu Xiangnan He 96 8 0 22 Sep 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 97 35 0 22 Jun 2022
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 236 1,254 0 04 Nov 2020
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems Maurizio Ferrari Dacrema Federico Parroni Paolo Cremonesi Dietmar Jannach 68 17 0 23 Jul 2020