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ORCIDTransactions 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 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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