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Convolutional Gaussian Embeddings for Personalized Recommendation with
  Uncertainty

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

19 June 2020
Junyan Jiang
Deqing Yang
Yanghua Xiao
Chenlu Shen
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Title
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
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
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
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
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
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
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
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
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
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
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
1