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ACM 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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