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Transactions on Recommender Systems, Volume 1
Volume 1, Number 1, March 2023
- Li Chen
, Dietmar Jannach
:
ACM Transactions on Recommender Systems: Inaugural Issue Editorial. 1 - Dugang Liu
, Pengxiang Cheng
, Hong Zhu
, Zhenhua Dong
, Xiuqiang He
, Weike Pan
, Zhong Ming
:
Debiased Representation Learning in Recommendation via Information Bottleneck. 1-27 - Olivier Jeunen
, Bart Goethals
:
Pessimistic Decision-Making for Recommender Systems. 1-27 - Ivan Srba
, Róbert Móro
, Matús Tomlein
, Branislav Pecher
, Jakub Simko
, Elena Stefancova
, Michal Kompan
, Andrea Hrckova
, Juraj Podrouzek
, Adrian Gavornik
, Mária Bieliková:
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. 1-33 - Chen Gao
, Yu Zheng
, Nian Li
, Yinfeng Li
, Yingrong Qin
, Jinghua Piao
, Yuhan Quan
, Jianxin Chang
, Depeng Jin
, Xiangnan He
, Yong Li
:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. 1-51 - Nícollas Silva
, Thiago Silva
, Heitor Werneck
, Leonardo Rocha
, Adriano C. M. Pereira
:
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience. 1-24
Volume 1, Number 2, June 2023
- Ming Li
, Mozhdeh Ariannezhad
, Andrew Yates
, Maarten de Rijke
:
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. 1-32 - Xin Zhou
, Aixin Sun
, Yong Liu
, Jie Zhang
, Chunyan Miao
:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. 1-25 - Victor Coscrato
, Derek G. Bridge
:
Estimating and Evaluating the Uncertainty of Rating Predictions and Top-n Recommendations in Recommender Systems. 1-34 - Xueqi Li
, Guoqing Xiao
, Yuedan Chen
, Zhuo Tang
, Wenjun Jiang
, Kenli Li
:
An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation. 1-23
Volume 1, Number 3, September 2023
- Gabriel Bénédict
, Daan Odijk
, Maarten de Rijke
:
Intent-Satisfaction Modeling: From Music to Video Streaming. 1-23 - Kiran Tomlinson
, Mengting Wan
, Cao Lu
, Brent J. Hecht
, Jaime Teevan
, Longqi Yang
:
Targeted Training for Multi-organization Recommendation. 1-18 - Tung D. Nguyen
, Jeffrey Uhlmann
:
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems. 1-26 - Emanuele Cavenaghi
, Gabriele Sottocornola
, Fabio Stella
, Markus Zanker
:
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. 1-23
Volume 1, Number 4, December 2023
- Nicholas Lim
, Bryan Hooi
, See-Kiong Ng
, Yong Liang Goh
, Renrong Weng
, Rui Tan
:
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. 1-26 - Antonio Ferrara
, Vito Walter Anelli
, Alberto Carlo Maria Mancino
, Tommaso Di Noia
, Eugenio Di Sciascio
:
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. 1-30 - Alain D. Starke
, Edis Asotic
, Christoph Trattner
, Ellen J. Van Loo
:
Examining the User Evaluation of Multi-List Recommender Interfaces in the Context of Healthy Recipe Choices. 1-31 - Yiming Zhang
, Lingfei Wu
, Qi Shen
, Yitong Pang
, Zhihua Wei
, Fangli Xu
, Ethan Chang
, Bo Long
:
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. 1-22 - Shuyuan Xu
, Juntao Tan
, Shelby Heinecke
, Vena Jia Li
, Yongfeng Zhang
:
Deconfounded Causal Collaborative Filtering. 1-25
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