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ORCIDACM Transactions on Information Systems, Volume 43
Volume 43, Number 1, January 2025
- Weibin Liao
, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li:
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. 1:1-1:26 - Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
Online and Offline Evaluation in Search Clarification. 2:1-2:30 - Lei Sang, Honghao Li, Yiwen Zhang, Yi Zhang, Yun Yang:
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction. 3:1-3:31 - Honghao Li, Lei Sang, Yi Zhang, Xuyun Zhang, Yiwen Zhang:
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction. 4:1-4:34 - Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li:
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. 5:1-5:27 - Nuo Xu, Pinghui Wang, Junzhou Zhao, Feiyang Sun, Lin Lan, Jing Tao, Li Pan, Xiaohong Guan:
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge. 6:1-6:32 - Xiaoyu Zhang, Shaoyun Shi, Yishan Li, Weizhi Ma, Peijie Sun, Min Zhang:
Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation. 7:1-7:33 - Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang:
PEPT: Expert Finding Meets Personalized Pre-Training. 8:1-8:26 - Vineeta Anand, Ashish Kumar Maurya:
A Survey on Recommender Systems Using Graph Neural Network. 9:1-9:49 - Qiqi Cai, Jian Cao, Guandong Xu, Nengjun Zhu:
Distributed Recommendation Systems: Survey and Research Directions. 10:1-10:38 - Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops. 11:1-11:29 - Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu:
Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. 12:1-12:43 - Qizhi Wan, Changxuan Wan, Keli Xiao, Rong Hu, Dexi Liu, Guoqiong Liao, Xiping Liu, Yuxin Shuai:
A Multifocal Graph-Based Neural Network Scheme for Topic Event Extraction. 13:1-13:36 - Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang:
Meta-Learning to Rank for Sparsely Supervised Queries. 14:1-14:29 - Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji:
Revisiting Conversation Discourse for Dialogue Disentanglement. 15:1-15:34 - Qi Zhou, Peng Zhang, Hansu Gu, Tun Lu, Ning Gu:
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction. 16:1-16:28 - Jie Li, Yongli Ren, Mark Sanderson, Ke Deng:
Explaining Recommendation Fairness from a User/Item Perspective. 17:1-17:30 - Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang:
Contrastive Clustering Learning for Multi-Behavior Recommendation. 18:1-18:23 - Zeyang Zhang, Xin Wang, Haibo Chen, Haoyang Li, Wenwu Zhu:
Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation. 19:1-19:42 - Xi Zhu, Fake Lin, Ziwei Zhao, Tong Xu, Xiangyu Zhao, Zikai Yin, Xueying Li, Enhong Chen:
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs. 20:1-20:30 - Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren:
Learning Robust Sequential Recommenders through Confident Soft Labels. 21:1-21:27 - Yi Zhang, Yiwen Zhang, Lei Sang, Victor S. Sheng:
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems. 22:1-22:30 - Guolong Wang, Xun Wu, Xun Tu, Zhaoyuan Liu, Junchi Yan:
Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction. 23:1-23:26 - Shijie Wang, Wenqi Fan, Xiao-Yong Wei, Xiaowei Mei, Shanru Lin, Qing Li:
Multi-Agent Attacks for Black-Box Social Recommendations. 24:1-24:26 - Chaochao Chen, Yizhao Zhang, Yuyuan Li, Jun Wang, Lianyong Qi, Xiaolong Xu, Xiaolin Zheng, Jianwei Yin:
Post-Training Attribute Unlearning in Recommender Systems. 25:1-25:28 - Shuo Zhang, Xiangwu Meng, Yujie Zhang:
Variational Type Graph Autoencoder for Denoising on Event Recommendation. 26:1-26:27
Volume 43, Number 2, March 2025
- Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke:
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. 27:1-27:6 - Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang:
How Can Recommender Systems Benefit from Large Language Models: A Survey. 28:1-28:47 - Xin Wang, Hong Chen, Zirui Pan, Yuwei Zhou, Chaoyu Guan, Lifeng Sun, Wenwu Zhu:
Automated Disentangled Sequential Recommendation with Large Language Models. 29:1-29:29 - Hao Wang, Mingjia Yin, Luankang Zhang, Sirui Zhao, Enhong Chen:
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation. 30:1-30:28 - Yicheng Di, Hongjian Shi, Xiaoming Wang, Ruhui Ma, Yuan Liu:
Federated Recommender System Based on Diffusion Augmentation and Guided Denoising. 31:1-31:36 - Yingtao Peng, Chen Gao, Yu Zhang, Tangpeng Dan, Xiaoyi Du, Hengliang Luo, Yong Li, Xiaofeng Meng:
Denoising Alignment with Large Language Model for Recommendation. 32:1-32:35 - Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang:
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. 33:1-33:29 - Lixiang Xu, Yusheng Liu, Tong Xu, Enhong Chen, Yuanyan Tang:
Graph Augmentation Empowered Contrastive Learning for Recommendation. 34:1-34:27 - Jiafeng Guo, Yinqiong Cai, Keping Bi, Yixing Fan, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. 35:1-35:25 - Xu Zhang, Zexu Lin, Xiaoyu Hu, Jianlei Wang, Wenpeng Lu, Deyu Zhou:
SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search. 36:1-36:26 - Hongfei Ge, Yuanchun Jiang, Jianshan Sun, Kun Yuan, Yezheng Liu:
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model. 37:1-37:30 - Parastoo Jafarzadeh, Faezeh Ensan, Mahdiyar Ali Akbar Alavi, Fattane Zarrinkalam:
A Knowledge Graph Embedding Model for Answering Factoid Entity Questions. 38:1-38:27 - Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu:
Building a Coding Assistant via the Retrieval-Augmented Language Model. 39:1-39:25 - Yuren Mao, Xuemei Dong, Wenyi Xu, Yunjun Gao, Bin Wei, Ying Zhang:
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction. 40:1-40:27 - Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen:
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. 41:1-41:32
- Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. 42:1-42:55 - Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin, Will Stamey, Xinyuan Zhang, Yi Gan, Kai Yang, Ahmed Abbasi:
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs. 43:1-43:36 - Fan Liu, Yaqi Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. 44:1-44:26 - Washington Cunha, Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani, Leonardo Rocha, Marcos André Gonçalves:
A Noise-Oriented and Redundancy-Aware Instance Selection Framework. 45:1-45:33 - Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong:
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. 46:1-46:35 - Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu:
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions. 47:1-47:29 - Thanh Trung Huynh, Trong Bang Nguyen, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Certified Unlearning for Federated Recommendation. 48:1-48:29 - Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences. 49:1-49:25 - Wei Wang, Yujie Lin, Pengjie Ren, Zhumin Chen, Tsunenori Mine, Jianli Zhao, Qiang Zhao, Moyan Zhang, Xianye Ben, Yujun Li:
Privacy-Preserving Sequential Recommendation with Collaborative Confusion. 50:1-50:25 - Qin Zhang, Mengqi Zheng, Shangsi Chen, Han Liu, Meng Fang:
Self Data Augmentation for Open Domain Question Answering. 51:1-51:35 - Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin:
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. 52:1-52:24 - Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu:
Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability. 53:1-53:58 - Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. 54:1-54:28 - Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen:
User Behavior Simulation with Large Language Model-based Agents. 55:1-55:37
Volume 43, Number 3, May 2025
- Elad Yom-Tov, Liat Levontin:
The In-Situ Effect of Offensive Ads on Search Engine Users. 56:1-56:22 - Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian:
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation. 57:1-57:29 - Yi Yu, Kazunari Sugiyama, Adam Jatowt:
Domain Counterfactual Data Augmentation for Explainable Recommendation. 58:1-58:30 - Linmei Hu, Xinyu Zhang, Dandan Song, Changzhi Zhou, Hongyu He, Liqiang Nie:
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation. 59:1-59:29 - Li Yu, Jianyong Hu, Qihan Du, Xi Niu:
MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning. 60:1-60:27 - Zirui Liu, Hailin Zhang, Boxuan Chen, Zihan Jiang, Yikai Zhao, Yangyu Tao, Tong Yang, Bin Cui:
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models. 61:1-61:42 - Yuanxing Liu, Jiahuan Pei, Weinan Zhang, Ming Li, Wanxiang Che, Maarten de Rijke:
Augmentation with Neighboring Information for Conversational Recommendation. 62:1-62:49 - Hung Vinh Tran, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. 63:1-63:32 - Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang:
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? 64:1-64:36 - Bulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen, Qi Tian:
Structure-Aware Conversational Legal Case Retrieval. 65:1-65:28 - Zihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction. 66:1-66:24 - Yang Deng, Lizi Liao, Wenqiang Lei, Grace Hui Yang, Wai Lam, Tat-Seng Chua:
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities. 67:1-67:45 - Hao Wang, Bin Guo, Yating Zeng, Mengqi Chen, Yasan Ding, Ying Zhang, Lina Yao, Zhiwen Yu:
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. 68:1-68:59 - Enyue Yang, Weike Pan, Lixin Fan, Hanlin Gu, Zhitao Li, Qiang Yang, Zhong Ming:
Ownership Verification for Federated Recommendation. 69:1-69:27 - Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu:
Contrastive Modality-Disentangled Learning for Multimodal Recommendation. 70:1-70:31 - Haobo Zhang, Qiannan Zhu, Zhicheng Dou:
A Unified Prompt-aware Framework for Personalized Search and Explanation Generation. 71:1-71:26 - Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He:
Reinforced Prompt Personalization for Recommendation with Large Language Models. 72:1-72:27 - Zunlong Liu, Yang Xu, Gao Cong, Lei Zhu, Qinjun Qiu, Huaxiang Zhang:
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation. 73:1-73:30 - Junjie Zhang, Wenqi Sun, Yupeng Hou, Wayne Xin Zhao, Ji-Rong Wen:
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. 74:1-74:31 - Jiajun Cui, Hong Qian, Chanjin Zheng, Lu Wang, Mo Yu, Wei Zhang:
Rebalancing Discriminative Responses for Knowledge Tracing. 75:1-75:25 - Dongyang Li, Jianshan Sun, Chongming Gao, Fuli Feng, Kun Yuan:
Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation. 76:1-76:27 - Chengde Zhang, Zihan Zhang, Jiaying Huang, Yan Liu, Dawei Jin, Xia Xiao, Zuwu Shen:
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation. 77:1-77:29 - Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Lingfei Wu:
Vague Preference Policy Learning for Conversational Recommendation. 78:1-78:27 - Jinyu Zhang, Chao Li, Zhongying Zhao:
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation. 79:1-79:25 - Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. 80:1-80:28 - Michiel P. Bron, Peter G. M. van der Heijden, Ad Feelders, Arno Siebes:
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. 81:1-81:51 - Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang:
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. 82:1-82:32 - Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou:
From Matching to Generation: A Survey on Generative Information Retrieval. 83:1-83:62
Volume 43, Number 4, July 2025
- Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Zhenlin Chen, Guoyu Tang, Sulong Xu, Ji-Rong Wen:
Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge. 84:1-84:25 - Nuo Xu, Pinghui Wang, Zi Liang, Junzhou Zhao, Xiaohong Guan:
How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching. 85:1-85:32 - Huili Wang, Chuhan Wu, Yongfeng Huang, Tao Qi:
Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation. 86:1-86:28 - Shulan Ruan, Huijie Liu, Zhao Chen, Bin Feng, Kun Zhang, Caleb Chen Cao, Enhong Chen, Lei Chen:
CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling. 87:1-87:26 - Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. 88:1-88:29 - Jinguang Wang, Shengsheng Qian, Jun Hu, Wenxiang Dong, Xudong Huang, Richang Hong:
End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference. 89:1-89:26 - Shuliang Wang, Jiabao Zhu, Yi Wang, Chen Ma, Xin Zhao, Yansen Zhang, Ziqiang Yuan, Sijie Ruan:
Hierarchical Gating Network for Cross-Domain Sequential Recommendation. 90:1-90:32 - Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li:
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. 91:1-91:25 - Nakarin Sritrakool, Saranya Maneeroj, Atsuhiro Takasu:
QUADEN: Discovering Latent Neighbors for Sparse Users and Items across Interaction Quadrants in Recommender System. 92:1-92:33 - Meng Jian, Tuo Wang, Zhuoyang Xia, Ge Shi, Richang Hong, Lifang Wu:
Geometric-Augmented Self-Distillation for Graph-Based Recommendation. 93:1-93:23 - Yifang Qin, Wei Ju, Yiyang Gu, Ziyue Qiao, Zhiping Xiao, Ming Zhang:
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. 94:1-94:28 - Meng Yuan, Zhao Zhang, Wei Chen, Chu Zhao, Tong Cai, Deqing Wang, Rui Liu, Fuzhen Zhuang:
HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. 95:1-95:27 - Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie:
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. 96:1-96:33 - Ramon Adàlia, Gemma Sanjuan, Tomàs Margalef, Ismael Zamora:
The LambdaGap Framework for Precision-Oriented Ranking. 97:1-97:39 - Yuxing Chu, Mingxu Sun, Ke Huang, Haokun Geng, Yanyu Zhang, Lili Zhang, Menghua Zhang:
Personality Dialogue Agent Based on Personality Description and Conversation History. 98:1-98:29 - Fei Li, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Preference Logical Reasoning with Preference Operators for Explainable Recommendations. 99:1-99:30 - Tairan Wang, Xiuying Chen, Qingqing Zhu, Taicheng Guo, Shen Gao, Zhiyong Lu, Xin Gao, Xiangliang Zhang:
New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark. 100:1-100:25 - Qing Yu, Lixin Zou, Xiangyang Luo, Xiangyu Zhao, Chenliang Li:
Uniform Graph Pre-training and Prompting for Transferable Recommendation. 101:1-101:26 - Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen:
Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge. 102:1-102:26 - Ziang Lu, Lei Guo, Xu Yu, Zhiyong Cheng, Xiaohui Han, Lei Zhu:
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation. 103:1-103:27 - Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi:
Efficient Multi-task Prompt Tuning for Recommendation. 104:1-104:21 - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART. 105:1-105:37 - Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models. 106:1-106:35 - Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li:
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights. 107:1-107:32 - Xurong Liang, Tong Chen, Wei Yuan, Hogzhi Yin:
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. 108:1-108:29 - Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang:
Coherence-guided Preference Disentanglement for Cross-domain Recommendations. 109:1-109:28 - Mingshi Yan, Zhiyong Cheng, Fan Liu, Yingda Lyu, Yahong Han:
User Invariant Preference Learning for Multi-Behavior Recommendation. 110:1-110:24
Volume 43, Number 5, September 2025
- Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke:
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. 111:1-111:5 - Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. 112:1-112:30 - Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song:
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. 113:1-113:31 - Junjie Zhang, Ruobing Xie, Yupeng Hou, Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. 114:1-114:37 - Zhiang Dong, Liya Hu, Jingyuan Chen, Zhihua Wang, Fei Wu:
Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data. 115:1-115:26 - Qi Yang, Aleksandr Farseev, Marlo Ongpin, Alfred Huang, Yu-Yi Chu-Farseeva, Da-Min You, Kirill Lepikhin, Sergey I. Nikolenko:
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing. 116:1-116:31 - Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. 117:1-117:33 - Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li:
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems. 118:1-118:27 - Xi He, Yilin Liu, Weikang He, Xin Xing, Xingyu Lu, Yanbing Liu:
TCKT: Tree-Based Cross-domain Knowledge Transfer for Next POI Cold-Start Recommendation. 119:1-119:31 - Haoran Xin, Ying Sun, Chao Wang, Hui Xiong:
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models. 120:1-120:33 - Lei Sang, Yu Wang, Yiwen Zhang, Xindong Wu:
Denoising Heterogeneous Graph Pre-training Framework for Recommendation. 121:1-121:31 - Hanyu Lai, Xiao Liu, Hao Yu, Yifan Xu, Iat Long Iong, Shuntian Yao, Aohan Zeng, Zhengxiao Du, Yuxiao Dong, Jie Tang:
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System. 122:1-122:43
- Likang Xiao, Richong Zhang, Junfan Chen, Lei Zhang:
Including Co-Relation via Concatenate Operator for Static and Temporal Knowledge Graph Embedding. 123:1-123:26 - Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang:
Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. 124:1-124:43 - Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu:
ID-centric Pre-training for Recommendation. 125:1-125:29 - Tung Thanh Vuong, Pritom Kumar Das, Tuukka Ruotsalo:
Incorporating Cognitive Abilities into Web Search Re-ranking. 126:1-126:35 - Xiangwei Lv, Guifeng Wang, Jingyuan Chen, Hejian Su, Zhiang Dong, Yumeng Zhu, Beishui Liao, Fei Wu:
Debiased Cognition Representation Learning for Knowledge Tracing. 127:1-127:30 - Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. 128:1-128:33 - Weihang Su, Qingyao Ai, Yueyue Wu, Anzhe Xie, Changyue Wang, Yixiao Ma, Haitao Li, Zhijing Wu, Yiqun Liu, Min Zhang:
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions. 129:1-129:27 - Lianwei Wu, Kang Wang, Kunlin Nie, Sensen Guo, Chao Gao, Zhen Wang, Shudong Li:
TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification. 130:1-130:26 - Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King:
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. 131:1-131:28 - Zhenghong Lin, Yanchao Tan, Jiamin Chen, Hengyu Zhang, Chaochao Chen, Shiping Wang, Carl Yang:
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. 132:1-132:31 - Jing Yao, Xiting Wang, Jianxun Lian, Xiaoyuan Yi, Xing Xie:
Neural Recommendation Reasoning with Logic Rules. 133:1-133:28 - Xiaoqiang Gui, Guoxian Yu, Jun Wang, Shuguang Han, Qingzhong Li, Yongqing Zheng, Wei Wang:
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure. 134:1-134:31 - Junmei Wang, Fengjing Zhang, Xiadan Chen, Puyu He, Ellen Anne Huang, Jimmy Xiangji Huang:
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding. 135:1-135:30 - Heng-Da Xu, Xian-Ling Mao, Fanshu Sun, Tian-Yi Che, Chun Xu, Heyan Huang:
AgentTOD: A Task-Oriented Dialogue Agent with a Flexible and Adaptive API Calling Paradigm. 136:1-136:32 - Lei Guo, Chenlong Song, Feng Guo, Xiaohui Han, Xiaojun Chang, Lei Zhu:
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation. 137:1-137:27 - Zhiqiang Pan, Chen Gao, Fei Cai, Honghui Chen, Yong Li:
Light Dynamic Graph Learning on Temporal Networks. 138:1-138:27 - Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang:
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. 139:1-139:25 - Jingwei Ma, Jiahui Wen, Lei Zhu, Mingyang Zhong, Yang Xu, Lei Guo, Hongzhi Yin:
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks. 140:1-140:26 - Hanrui Wu, Yanxin Wu, Nuosi Li, Jia Zhang, Yonghui Xu, Michael K. Ng, Jinyi Long:
Cold-start User Recommendation via Heterogeneous Domain Adaptation. 141:1-141:26
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