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ORCIDACM Transactions on Information Systems, Volume 42
Volume 42, Number 1, January 2024
- Lanning Wei
, Huan Zhao, Zhiqiang He, Quanming Yao:
Neural Architecture Search for GNN-Based Graph Classification. 1:1-1:29 - Molly McGregor, Leif Azzopardi, Martin Halvey:
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972-2020. 2:1-2:39 - Hongyan Xu, Qiyao Peng, Hongtao Liu, Yueheng Sun, Wenjun Wang:
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. 3:1-3:27 - Jin Zhang, Xinrui Li, Liye Wang:
A Review Selection Method Based on Consumer Decision Phases in E-commerce. 4:1-4:27 - Yao Wu, Jian Cao, Guandong Xu:
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems. 5:1-5:26 - Xinhang Li, Zhaopeng Qiu, Jiacheng Jiang, Yong Zhang, Chunxiao Xing, Xian Wu:
Conditional Cross-Platform User Engagement Prediction. 6:1-6:28 - Radin Hamidi Rad, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
A Variational Neural Architecture for Skill-based Team Formation. 7:1-7:28 - Liangliang He, Xiao Li, Pancheng Wang, Jintao Tang, Ting Wang:
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. 8:1-8:22 - Hai Chen, Fulan Qian, Chang Liu, Yanping Zhang, Hang Su, Shu Zhao:
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation. 9:1-9:27 - Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li:
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. 10:1-10:26 - Tetsuya Sakai, Jinyoung Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance. 11:1-11:36 - Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation against User Preference Shifts. 12:1-12:27 - Yazhou Zhang, Ao Jia, Bo Wang, Peng Zhang, Dongming Zhao, Pu Li, Yuexian Hou, Xiaojia Jin, Dawei Song, Jing Qin:
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. 13:1-13:32 - Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. 14:1-14:27 - Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. 15:1-15:28 - Dongjing Wang, Xin Zhang, Yuyu Yin, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. 16:1-16:30 - Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. 17:1-17:29 - Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li:
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. 18:1-18:24 - Lida Rashidi, Justin Zobel, Alistair Moffat:
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. 19:1-19:31 - Sebastian Bruch, Siyu Gai, Amir Ingber:
An Analysis of Fusion Functions for Hybrid Retrieval. 20:1-20:35 - Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai:
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. 21:1-21:26 - Heyan Huang, Changsen Yuan, Qian Liu, Yixin Cao:
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. 22:1-22:24 - Tetsuya Sakai, Sijie Tao, Nuo Chen, Yujing Li, Maria Maistro, Zhumin Chu, Nicola Ferro:
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. 23:1-23:31 - Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-based Recommendation. 24:1-24:34 - Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. 25:1-25:24 - Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. 26:1-26:30 - Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong:
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. 27:1-27:32 - Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang:
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. 28:1-28:27 - Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai:
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. 29:1-29:29 - Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. 30:1-30:27 - Josiane Mothe, Md Zia Ullah:
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations. 31:1-31:35 - Zifeng Cheng, Qingyu Zhou, Zhiwei Jiang, Xuemin Zhao, Yunbo Cao, Qing Gu:
Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling. 32:1-32:27
Volume 42, Number 2, March 2024
- Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu, Wenjie Li:
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation. 33:1-33:27 - Yitong Yao, Jing Zhang, Peng Zhang, Yueheng Sun:
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification. 34:1-34:24 - Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang:
Towards Efficient Coarse-grained Dialogue Response Selection. 35:1-35:32 - Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun:
PARADE: Passage Representation Aggregation forDocument Reranking. 36:1-36:26 - Jiayi Xie, Zhenzhong Chen:
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation. 37:1-37:30 - Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Syntactic-Informed Graph Networks for Sentence Matching. 38:1-38:29 - Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin:
Toward Best Practices for Training Multilingual Dense Retrieval Models. 39:1-39:33 - Yixiao Ma, Yueyue Wu, Qingyao Ai, Yiqun Liu, Yunqiu Shao, Min Zhang, Shaoping Ma:
Incorporating Structural Information into Legal Case Retrieval. 40:1-40:28 - Yatong Sun, Xiaochun Yang, Zhu Sun, Bin Wang:
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals. 41:1-41:33 - Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. 42:1-42:43 - Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. 43:1-43:31 - Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-length Effect for Micro-video Recommendation. 44:1-44:24 - Sannyuya Liu, Shengyingjie Liu, Zongkai Yang, Jianwen Sun, Xiaoxuan Shen, Qing Li, Rui Zou, Shangheng Du:
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems. 45:1-45:28 - Yanrui Niu, Chao Liang, Ankang Lu, Baojin Huang, Zhongyuan Wang, Jiahao Guo:
Person-action Instance Search in Story Videos: An Experimental Study. 46:1-46:34 - Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. 47:1-47:26 - Lei Guo, Hao Liu, Lei Zhu, Weili Guan, Zhiyong Cheng:
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation. 48:1-48:27 - Longxuan Ma, Jiapeng Li, Mingda Li, Weinan Zhang, Ting Liu:
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue. 49:1-49:29 - Yupeng Hu, Kun Wang, Meng Liu, Haoyu Tang, Liqiang Nie:
Semantic Collaborative Learning for Cross-Modal Moment Localization. 50:1-50:26 - Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma:
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. 51:1-51:29 - Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian:
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. 52:1-52:30 - Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. 53:1-53:25 - Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang:
A Diffusion Model for POI Recommendation. 54:1-54:27 - Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Understanding and Predicting User Satisfaction with Conversational Recommender Systems. 55:1-55:37 - Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. 56:1-56:32 - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. 57:1-57:32 - Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. 58:1-58:26 - Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang:
Contrastive Self-supervised Learning in Recommender Systems: A Survey. 59:1-59:39 - Zixuan Yi, Iadh Ounis, Craig MacDonald:
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. 60:1-60:28 - Elias Bassani, Nicola Tonellotto, Gabriella Pasi:
Personalized Query Expansion with Contextual Word Embeddings. 61:1-61:35 - Yunqiu Shao, Haitao Li, Yueyue Wu, Yiqun Liu, Qingyao Ai, Jiaxin Mao, Yixiao Ma, Shaoping Ma:
An Intent Taxonomy of Legal Case Retrieval. 62:1-62:27
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