Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.03736
Cited By
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
5 June 2020
Aravind Sankar
Yanhong Wu
Yuhang Wu
Wei Zhang
Hao Yang
Hari Sundaram
AI4TS
Re-assign community
ArXiv
PDF
HTML
Papers citing
"GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation"
8 / 8 papers shown
Title
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
32
0
0
13 Apr 2025
Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group Recommendation
Chae-Hyun Kim
Yoon-Ryung Choi
Jin-Duk Park
Won-Yong Shin
67
1
0
13 Feb 2025
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
21
12
0
06 Nov 2023
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce
Manuel Dibak
Vladimir Vlasov
Nour Karessli
Darya Dedik
E. Malykh
Jacek Wasilewski
T. Torres
Ana Peleteiro Ramallo
AI4TS
26
1
0
18 Sep 2023
Multi-Granularity Attention Model for Group Recommendation
Jianye Ji
Jiayan Pei
Shaochuan Lin
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
19
5
0
08 Aug 2023
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters
Hyunsik Jeon
Jun-Gi Jang
Taehun Kim
U. Kang
35
7
0
19 Oct 2022
Self-supervised Graph Learning for Occasional Group Recommendation
Bowen Hao
Hongzhi Yin
Cuiping Li
Hong Chen
30
6
0
04 Dec 2021
DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
Sarina Sajadi Ghaemmaghami
Amirali Salehi-Abari
FedML
48
2
0
13 Mar 2021
1