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ORCIDACM Transactions on Information Systems, Volume 41
Volume 41, Number 1, January 2023
- Pei-Chi Lo
, Ee-Peng Lim:
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach. 1:1-1:38 - Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke:
Generating Relevant and Informative Questions for Open-Domain Conversations. 2:1-2:30 - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. 3:1-3:32 - Ting Ma, Longtao Huang, Qianqian Lu, Songlin Hu:
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation. 4:1-4:27 - Junqi Zhang, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Jiazheng Xu, Shaoping Ma, Qi Tian:
User Behavior Simulation for Search Result Re-ranking. 5:1-5:35 - Liwei Huang, Yutao Ma, Yanbo Liu, Bohong Danny Du, Shuliang Wang, Deyi Li:
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. 6:1-6:32 - Bing Li, Peng Yang, Hanlin Zhao, Penghui Zhang, Zijian Liu:
Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization. 7:1-7:27 - Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. 8:1-8:27 - Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan:
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order. 9:1-9:30 - Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao:
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. 10:1-10:23 - Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Sequential Recommendation with Multiple Contrast Signals. 11:1-11:27 - Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation. 12:1-12:25 - Yuan Tian, Ke Zhou, Dan Pelleg:
Characterization and Prediction of Mobile Tasks. 13:1-13:39 - Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. 14:1-14:31 - Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. 15:1-15:30 - Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Maria Soledad Pera, Yiqun Liu:
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. 16:1-16:25 - Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Changsheng Xu:
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation. 17:1-17:24 - Bogeum Choi, Jaime Arguello, Robert Capra, Austin R. Ward:
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities. 18:1-18:35 - Hui Wang, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. 19:1-19:28 - Qizhi Wan, Changxuan Wan, Keli Xiao, Rong Hu, Dexi Liu:
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction. 20:1-20:27 - Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen:
Integrating Representation and Interaction for Context-Aware Document Ranking. 21:1-21:23 - Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu:
Few-shot Aspect Category Sentiment Analysis via Meta-learning. 22:1-22:31 - Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, Hongke Zhao:
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. 23:1-23:29 - Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. 24:1-24:50 - Rossano Gaeta, Michele Garetto, Giancarlo Ruffo, Alessandro Flammini:
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets. 25:1-25:34
Volume 41, Number 2, April 2023
- Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. 26:1-26:26 - Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. 27:1-27:29 - Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao:
Knowledge Base Embedding for Sampling-Based Prediction. 28:1-28:25 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? 29:1-29:36 - Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. 30:1-30:27 - Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. 31:1-31:24 - Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. 32:1-32:41 - Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng:
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. 33:1-33:25 - Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. 34:1-34:36 - Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang:
Proactive Privacy-preserving Learning for Cross-modal Retrieval. 35:1-35:23 - Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. 36:1-36:37 - Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen:
Sequence-aware Knowledge Distillation for a Lightweight Event Representation. 37:1-37:30 - Suchana Datta, Debasis Ganguly, Mandar Mitra, Derek Greene:
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants. 38:1-38:31 - Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu:
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. 39:1-39:30 - Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming:
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. 40:1-40:37 - Lizhi Cheng, Weijia Jia, Wenmian Yang:
Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding. 41:1-41:32 - Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. 42:1-42:39 - Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. 43:1-43:27 - Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. 44:1-44:29 - Jie Zou, Jimmy Xiangji Huang, Zhaochun Ren, Evangelos Kanoulas:
Learning to Ask: Conversational Product Search via Representation Learning. 45:1-45:27 - Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. 46:1-46:33 - Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. 47:1-47:29 - Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma:
User Perception of Recommendation Explanation: Are Your Explanations What Users Need? 48:1-48:31 - Stefano Giovanni Rizzo, Matteo Brucato, Danilo Montesi:
Ranking Models for the Temporal Dimension of Text. 49:1-49:34 - Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. 50:1-50:32
Volume 41, Number 3, July 2023
- Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. 51:1-51:5 - Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma:
A Survey on the Fairness of Recommender Systems. 52:1-52:43 - Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang:
Addressing Confounding Feature Issue for Causal Recommendation. 53:1-53:23 - Lei Zhu, Tianshi Wang, Jingjing Li, Zheng Zhang, Jialie Shen, Xinhua Wang:
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval. 54:1-54:25 - Zhongzhou Liu, Yuan Fang, Min Wu:
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. 55:1-55:27 - Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao:
Dual Preference Distribution Learning for Item Recommendation. 56:1-56:22 - Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. 57:1-57:25 - Thanh Toan Nguyen, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks. 58:1-58:24 - Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. 59:1-59:28 - Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. 60:1-60:26 - Harrie Oosterhuis:
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank. 61:1-61:33
- Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. 62:1-62:40 - Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo:
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. 63:1-63:26 - Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu:
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. 64:1-64:27 - Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. 65:1-65:30 - Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. 66:1-66:25 - Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. 67:1-67:39 - Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. 68:1-68:36 - Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin:
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. 69:1-69:26 - Bi Liang, Xiangwu Meng, Yujie Zhang:
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs. 70:1-70:31 - Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. 71:1-71:24 - Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, Shazia Sadiq:
A Data-Driven Analysis of Behaviors in Data Curation Processes. 72:1-72:35 - Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. 73:1-73:35 - Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Recommendation with Side Information. 74:1-74:28 - Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Critical Study on Data Leakage in Recommender System Offline Evaluation. 75:1-75:27 - Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Shaoping Ma:
Understanding Relevance Judgments in Legal Case Retrieval. 76:1-76:32 - Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. 77:1-77:25 - Yu Zhao, Qiang Xu, Ying Zou, Wei Li:
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation. 78:1-78:29 - Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. 79:1-79:40 - Yakun Li, Lei Hou, Juanzi Li:
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph. 80:1-80:26 - Yi Zhang, Yiwen Zhang, Dengcheng Yan, Shuiguang Deng, Yun Yang:
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder. 81:1-81:28
Volume 41, Number 4, October 2023
- Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. 82:1-82:6 - Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li:
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. 83:1-83:26 - Romain Deffayet, Jean-Michel Renders, Maarten de Rijke:
Evaluating the Robustness of Click Models to Policy Distributional Shift. 84:1-84:28 - Xiaobo Guo, Shaoshuai Li, Naicheng Guo, Jiangxia Cao, Xiaolei Liu, Qiongxu Ma, Runsheng Gan, Yunan Zhao:
Disentangled Representations Learning for Multi-target Cross-domain Recommendation. 85:1-85:27 - Lyuxin Xue, Deqing Yang, Shuoyao Zhai, Yuxin Li, Yanghua Xiao:
Learning Dual-view User Representations for Enhanced Sequential Recommendation. 86:1-86:26 - Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. 87:1-87:28 - Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Extractive Explanations for Interpretable Text Ranking. 88:1-88:31 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. 89:1-89:27 - Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li:
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. 90:1-90:28 - Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. 91:1-91:31 - Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li:
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. 92:1-92:23 - Qing Meng, Hui Yan, Bo Liu, Xiangguo Sun, Mingrui Hu, Jiuxin Cao:
Recognize News Transition from Collective Behavior for News Recommendation. 93:1-93:30 - Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. 94:1-94:27 - Yan Zhao, Liwei Deng, Kai Zheng:
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing. 95:1-95:32
- Joel Mackenzie, Andrew Trotman, Jimmy Lin:
Efficient Document-at-a-time and Score-at-a-time Query Evaluation for Learned Sparse Representations. 96:1-96:28 - Xinyue Zhang, Jingjing Li, Hongzu Su, Lei Zhu, Heng Tao Shen:
Multi-level Attention-based Domain Disentanglement for BCDR. 97:1-97:24 - Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu:
Learning to Retrieve User Behaviors for Click-through Rate Estimation. 98:1-98:31 - Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li:
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. 99:1-99:29 - Sriram Somanchi, Ahmed Abbasi, Ken Kelley, David G. Dobolyi, Ted Tao Yuan:
Examining User Heterogeneity in Digital Experiments. 100:1-100:34 - Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. 101:1-101:38 - Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. 102:1-102:24 - Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. 103:1-103:26 - Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang:
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. 104:1-104:26 - Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu:
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction. 105:1-105:27 - Jing Yi, Xubin Ren, Zhenzhong Chen:
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. 106:1-106:25 - Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao:
Enhancing Multi-View Smoothness for Sequential Recommendation Models. 107:1-107:27 - Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. 108:1-108:26 - Alexis Dusart, Karen Pinel-Sauvagnat, Gilles Hubert:
TSSuBERT: How to Sum Up Multiple Years of Reading in a Few Tweets. 109:1-109:33 - Sheng-Chieh Lin, Jimmy Lin:
A Dense Representation Framework for Lexical and Semantic Matching. 110:1-110:29 - Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen:
Enhancing Recommendation with Search Data in a Causal Learning Manner. 111:1-111:31 - Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie:
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. 112:1-112:24 - Han Zhang, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Contrastive Learning for Legal Judgment Prediction. 113:1-113:25 - Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. 114:1-114:25 - Jiazhan Feng, Chongyang Tao, Xueliang Zhao, Dongyan Zhao:
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation. 115:1-115:27 - Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke:
A Next Basket Recommendation Reality Check. 116:1-116:29
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