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ACM 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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