Table of Contents

• Delphic Costs and Benefits in Web Search: A Utilitarian and Historical AnalysisAndrei Z. Broder. 1 [doi]
• What I Learned from Spending a Dozen Years in the Dark WebNicolas Christin. 2-3 [doi]
• The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG)Xin Luna Dong. 4 [doi]
• Unlocking Human CuriosityElizabeth Reid 0003. 5 [doi]
• Unveiling AI-Driven Collective Action for a Worker-Centric FutureSaiph Savage. 6-7 [doi]
• Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM InteractionsZahra Abbasiantaeb, Yifei Yuan 0002, Evangelos Kanoulas, Mohammad Aliannejadi. 8-17 [doi]
• IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text ClassificationAbdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu. 18-27 [doi]
• LabelCraft: Empowering Short Video Recommendations with Automated Label CraftingYimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng. 28-37 [doi]
• MAD: Multi-Scale Anomaly Detection in Link StreamsEsteban Bautista, Laurent Brisson, Cécile Bothorel, Grégory Smits. 38-46 [doi]
• Ranking with Long-Term ConstraintsKianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims. 47-56 [doi]
• LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot DetectionZijian Cai, Zhaoxuan Tan, Zhenyu Lei 0004, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo. 57-66 [doi]
• To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential RecommendersHaw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum. 67-76 [doi]
• PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval ModelsWei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan. 77-86 [doi]
• Empathetic Response Generation with Relation-aware Commonsense KnowledgeChangyu Chen, Yanran Li, Chen Wei, Jianwei Cui, Bin Wang, Rui Yan 0001. 87-95 [doi]
• Professional Network Matters: Connections Empower Person-Job FitHao Chen, Lun Du, Yuxuan Lu 0003, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li. 96-105 [doi]
• Towards Mitigating Dimensional Collapse of Representations in Collaborative FilteringHuiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu. 106-115 [doi]
• TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language ModelsYuyan Chen, Jin Zhao, Zhihao Wen, Zhixu Li, Yanghua Xiao. 116-124 [doi]
• Exploiting Duality in Open Information Extraction with Predicate PromptZhen Chen, JingPing Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian. 125-133 [doi]
• Customized and Robust Deep Neural Network WatermarkingTzu-Yun Chien, Chih-Ya Shen. 134-142 [doi]
• Overlapping and Robust Edge-Colored Clustering in HypergraphsAlex Crane, Brian Lavallee, Blair D. Sullivan, Nate Veldt. 143-151 [doi]
• CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingShohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur. 152-160 [doi]
• K2: A Foundation Language Model for Geoscience Knowledge Understanding and UtilizationCheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang 0001, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He. 161-170 [doi]
• CL4DIV: A Contrastive Learning Framework for Search Result DiversificationZhirui Deng, Zhicheng Dou, Yutao Zhu 0001, Ji-Rong Wen. 171-180 [doi]
• TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity AlignmentHaoyu Dong 0001, Haochen Wang, Anda Zhou, Yue Hu. 181-189 [doi]
• Guardian: Guarding against Gradient Leakage with Provable Defense for Federated LearningMingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang 0001, Minghui Qiu, Wenmeng Zhou. 190-198 [doi]
• Contextual MAB Oriented Embedding Denoising for Sequential RecommendationZhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang. 199-207 [doi]
• Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical InsightsJunchen Fu, Fajie Yuan, Yu Song 0007, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan. 208-217 [doi]
• DeSCo: Towards Generalizable and Scalable Deep Subgraph CountingTianyu Fu 0004, Chiyue Wei, Yu Wang 0002, Rex Ying. 218-227 [doi]
• PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendationChunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong. 228-237 [doi]
• CausalMMM: Learning Causal Structure for Marketing Mix ModelingChang-Gong, Di Yao 0001, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi. 238-246 [doi]
• Calibration-compatible Listwise Distillation of Privileged Features for CTR PredictionXiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng. 247-256 [doi]
• Motif-based Prompt Learning for Universal Cross-domain RecommendationBowen Hao, Chaoqun Yang, Lei Guo 0008, Junliang Yu, Hongzhi Yin. 257-265 [doi]
• User Behavior Enriched Temporal Knowledge Graphs for Sequential RecommendationHengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan. 266-275 [doi]
• User Consented Federated Recommender System Against Personalized Attribute Inference AttackQi Hu, Yangqiu Song. 276-285 [doi]
• SCAD: Subspace Clustering based Adversarial DetectorXinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu. 286-294 [doi]
• From Second to First: Mixed Censored Multi-Task Learning for Winning Price PredictionJiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang. 295-303 [doi]
• Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-EncoderXinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao 0001. 304-312 [doi]
• DiffKG: Knowledge Graph Diffusion Model for RecommendationYangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang. 313-321 [doi]
• Robust Training for Conversational Question Answering Models with Reinforced Reformulation GenerationMagdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum. 322-331 [doi]
• MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia RecommendationYungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim. 332-340 [doi]
• C²DR: Robust Cross-Domain Recommendation based on Causal DisentanglementMenglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou. 341-349 [doi]
• Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics ModelsJacopo Lenti, Corrado Monti, Gianmarco De Francisci Morales. 350-359 [doi]
• Multi-Intent Attribute-Aware Text Matching in SearchingMingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang. 360-368 [doi]
• Text-Video Retrieval via Multi-Modal Hypergraph NetworksQian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin. 369-377 [doi]
• CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural ProcessXiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu. 378-386 [doi]
• Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential RecommendationXuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang 0010, Mei Yu. 387-395 [doi]
• Inverse Learning with Extremely Sparse Feedback for RecommendationGuanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li 0001, Depeng Jin, Yong Li. 396-404 [doi]
• Mixed Attention Network for Cross-domain Sequential RecommendationGuanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang. 405-413 [doi]
• Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential RecommendationXiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming 0001, Xun Liu, Shudong Huang, Jie Jiang 0015. 414-423 [doi]
• Pre-trained Recommender Systems: A Causal Debiasing PerspectiveZiqian Lin, Hao Ding 0003, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang. 424-433 [doi]
• MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender SystemsDugang Liu, Chaohua Yang, Xing Tang 0007, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He 0001, Zhong Ming 0001, Xiangyu Zhao 0001. 434-442 [doi]
• Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph LearningLingwen Liu, Guangqi Wen, Peng Cao 0001, Jinzhu Yang, Weiping Li, Osmar R. Zaïane. 443-451 [doi]
• ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language ModelsQijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu 0003. 452-461 [doi]
• Knowledge Graph Context-Enhanced Diversified RecommendationXiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu. 462-471 [doi]
• Interact with the Explanations: Causal Debiased Explainable Recommendation SystemXu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li. 472-481 [doi]
• Attribute Simulation for Item Embedding Enhancement in Multi-interest RecommendationYaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng 0002. 482-491 [doi]
• Generative Models for Complex Logical Reasoning over Knowledge GraphsYu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi. 492-500 [doi]
• MADM: A Model-agnostic Denoising Module for Graph-based Social RecommendationWenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang. 501-509 [doi]
• Leveraging Multimodal Features and Item-level User Feedback for Bundle ConstructionYunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang 0010, Tat-Seng Chua. 510-519 [doi]
• Source Free Graph Unsupervised Domain AdaptationHaitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang 0001. 520-528 [doi]
• A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social MediaUsman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn. 529-537 [doi]
• RecJPQ: Training Large-Catalogue Sequential RecommendersAleksandr V. Petrov, Craig Macdonald. 538-547 [doi]
• Intent Contrastive Learning with Cross Subsequences for Sequential RecommendationXiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu 0001, Fuzhen Zhuang, Victor S. Sheng. 548-556 [doi]
• Budgeted Embedding Table For Recommender SystemsYunke Qu, Tong Chen 0005, Quoc Viet Hung Nguyen, Hongzhi Yin. 557-566 [doi]
• SSLRec: A Self-Supervised Learning Framework for RecommendationXubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei 0027, Tianle Wang 0006, Xuheng Cai, Chao Huang. 567-575 [doi]
• GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionAmit Roy, Juan Shu, Jia Li, Carl J. Yang, Olivier Elshocht, Jeroen Smeets, Pan Li 0005. 576-585 [doi]
• Ad-load Balancing via Off-policy Learning in a Content MarketplaceHitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen. 586-595 [doi]
• ProGAP: Progressive Graph Neural Networks with Differential Privacy GuaranteesSina Sajadmanesh, Daniel Gatica-Perez. 596-605 [doi]
• Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-ModelingMarija Sakota, Maxime Peyrard, Robert West 0001. 606-615 [doi]
• Proxy-based Item Representation for Attribute and Context-aware RecommendationJinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park. 616-625 [doi]
• Causality Guided Disentanglement for Cross-Platform Hate Speech DetectionParas Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu 0001. 626-635 [doi]
• Long-Term Value of Exploration: Measurements, Findings and AlgorithmsYi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen. 636-644 [doi]
• Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical StudyYuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang 0001. 645-654 [doi]
• LEAD: Liberal Feature-based Distillation for Dense RetrievalHao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan. 655-664 [doi]
• Rethinking and Simplifying Bootstrapped Graph LatentsWangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng. 665-673 [doi]
• A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense RetrievalXiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng. 674-682 [doi]
• Temporal Blind Spots in Large Language ModelsJonas Wallat, Adam Jatowt, Avishek Anand. 683-692 [doi]
• Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence FunctionBinghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li 0005, Meng Pang, Hai Helen Li, Yiran Chen 0001. 693-701 [doi]
• CityCAN: Causal Attention Network for Citywide Spatio-Temporal ForecastingChengxin Wang, Yuxuan Liang, Gary Tan. 702-711 [doi]
• Distribution Consistency based Self-Training for Graph Neural Networks with Sparse LabelsFali Wang, Tianxiang Zhao, Suhang Wang. 712-720 [doi]
• FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive AttributesHaonan Wang, Ziwei Wu, Jingrui He. 721-730 [doi]
• NeuralReconciler for Hierarchical Time Series ForecastingShiyu Wang. 731-739 [doi]
• Dynamic Sparse Learning: A Novel Paradigm for Efficient RecommendationShuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong 0001. 740-749 [doi]
• Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial RewardingXiaoyu Wang, Yonghui Guo, Bin Tan, Tao Yang, Dongbo Huang, Lan Xu, Hao Zhou 0001, Xiangyang Li 0001. 750-759 [doi]
• Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link PredictionYakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He. 760-768 [doi]
• Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong BaselineYue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang 0005. 769-778 [doi]
• Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario RecommendationYuhao Wang, Ziru Liu, Yichao Wang 0002, Xiangyu Zhao, Bo Chen 0023, Huifeng Guo, Ruiming Tang. 779-787 [doi]
• Cost-Effective Active Learning for Bid Exploration in Online AdvertisingZixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang. 788-796 [doi]
• AutoPooling: Automated Pooling Search for Multi-valued Features in RecommendationsHe Wei, Yuekui Yang, Shaoping Ma, Haiyang Wu, Yangyang Tang, Meixi Liu, Yang Zhang. 797-805 [doi]
• LLMRec: Large Language Models with Graph Augmentation for RecommendationWei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang. 806-815 [doi]
• Unified Visual Preference Learning for User Intent UnderstandingYihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li. 816-825 [doi]
• Continuous-time Autoencoders for Regular and Irregular Time Series ImputationHyowon Wi, Yehjin Shin, Noseong Park. 826-835 [doi]
• Neural Kalman Filtering for Robust Temporal RecommendationJiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu. 836-845 [doi]
• Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced RecommendationZhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang. 846-854 [doi]
• On the Effectiveness of Unlearning in Session-Based RecommendationXin Xin 0003, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren. 855-863 [doi]
• Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingHongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu 0004. 864-872 [doi]
• Towards Alignment-Uniformity Aware Representation in Graph Contrastive LearningRong Yan, Peng Bao, Xiao Zhang, Zhongyi Liu, Hui Liu. 873-881 [doi]
• Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureJiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin 0003. 882-890 [doi]
• Unified Pretraining for Recommendation via Task HypergraphsMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. 891-900 [doi]
• GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical FormulasZhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen. 901-910 [doi]
• COTER: Conditional Optimal Transport meets Table RetrievalXun Yao, Zhixin Zhang, Xinrong Hu, Jack Yang, Yi Guo, Daniel (Dianliang) Zhu. 911-919 [doi]
• PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology OptimizationZiqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li 0002. 920-929 [doi]
• Linear Recurrent Units for Sequential RecommendationZhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang. 930-938 [doi]
• IncMSR: An Incremental Learning Approach for Multi-Scenario RecommendationKexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang. 939-948 [doi]
• Defense Against Model Extraction Attacks on Recommender SystemsSixiao Zhang, Hongzhi Yin, Hongxu Chen 0002, Cheng Long. 949-957 [doi]
• Maximizing Malicious Influence in Node Injection AttackXiao Zhang, Peng Bao, Shirui Pan. 958-966 [doi]
• Interpretable Imitation Learning with Dynamic Causal RelationsTianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen. 967-975 [doi]
• RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment AnalysisXusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu. 976-984 [doi]
• CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic ForecastingZhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang. 985-993 [doi]
• Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better PracticesJing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian 0001, Wei Ai 0002, Xiang Song 0003, Danai Koutra. 994-1002 [doi]
• Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential RecommendationTianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie. 1003-1011 [doi]
• The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge DistillationYuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng. 1012-1021 [doi]
• Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language UnderstandingZhihong Zhu, Xuxin Cheng, Hongxiang Li, Yaowei Li, Yuexian Zou. 1022-1031 [doi]
• MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy OptimizationDongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang. 1032-1041 [doi]
• IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User ModelingNolwenn Bernard, Ivica Kostric, Krisztian Balog. 1042-1045 [doi]
• WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text DataAmine Ferdjaoui, Séverine Affeldt, Mohamed Nadif. 1046-1049 [doi]
• CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered ConversationsRevanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai. 1050-1053 [doi]
• GEMRec: Towards Generative Model RecommendationYuanhe Guo, Haoming Liu 0003, Hongyi Wen. 1054-1057 [doi]
• EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial IntelligenceAmbreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo. 1058-1061 [doi]
• SIRUP: Search-based Book Recommendation PlaygroundGhazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum. 1062-1065 [doi]
• Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a PlatformBlaine Hill, Lihui Liu, Hanghang Tong. 1066-1069 [doi]
• Real-time E-bike Route Planning with Battery Range PredictionZhao Li 0007, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li. 1070-1073 [doi]
• An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder AnalysisXuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue. 1074-1077 [doi]
• Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMsBehnam Rahdari, Hao Ding 0003, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton. 1078-1081 [doi]
• Future Timelines: Extraction and Visualization of Future-related Content From News ArticlesJuwal Regev, Adam Jatowt, Michael Färber 0001. 1082-1085 [doi]
• Temporal Graph Analysis with TGXRazieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei. 1086-1089 [doi]
• Vector Search with OpenAI Embeddings: Lucene Is All You NeedJasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin. 1090-1093 [doi]
• Making Small Language Models Better Multi-task Learners with Mixture-of-Task-AdaptersYukang Xie, Chengyu Wang 0001, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang. 1094-1097 [doi]
• A Scalable Open-Source System for Segmenting Urban Areas with Road NetworksMing Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou. 1098-1101 [doi]
• Domain Level Interpretability: Interpreting Black-box Model with Domain-specific EmbeddingYa-Lin Zhang 0001, Caizhi Tang, Lu Yu 0006, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao. 1102-1105 [doi]
• Wildfire: A Twitter Social Sensing Platform for LaypersonZeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li 0001. 1106-1109 [doi]
• Some Useful Things to Know When Combining IR and NLP: The Easy, the Hard and the UglyOmar Alonso, Kenneth Church 0001. 1110-1113 [doi]
• Introduction to Responsible AIRicardo Baeza-Yates. 1114-1117 [doi]
• Unbiased Learning to Rank: On Recent Advances and Practical ApplicationsShashank Gupta 0001, Philipp Hager, Jin Huang 0010, Ali Vardasbi, Harrie Oosterhuis. 1118-1121 [doi]
• Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge DiscoveryBowen Jin, Yu Zhang 0044, Sha Li, Jiawei Han 0001. 1122-1125 [doi]
• Towards Trustworthy Large Language ModelsSanmi Koyejo, Bo Li. 1126-1127 [doi]
• Strategic ML: How to Learn With Data That 'Behaves'Nir Rosenfeld. 1128-1131 [doi]
• Practical Bandits: An Industry PerspectiveBram van den Akker, Olivier Jeunen, Ying Li, Ben London 0001, Zahra Nazari, Devesh Parekh. 1132-1135 [doi]
• Leveraging User Simulation to Develop and Evaluate Conversational Information Access AgentsNolwenn Bernard. 1136-1138 [doi]
• Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to RankSantiago de Leon-Martinez. 1139-1141 [doi]
• Grounded and Transparent Response Generation for Conversational Information-Seeking SystemsWeronika Lajewska. 1142-1144 [doi]
• Learning Opinion Dynamics from DataJacopo Lenti. 1145-1147 [doi]
• Gaussian Graphical Model-Based Clustering of Time Series DataKohei Obata. 1148-1149 [doi]
• Effective and Efficient Transformer Models for Sequential RecommendationAleksandr V. Petrov. 1150-1151 [doi]
• Framework for Bias Detection in Machine Learning Models: A Fairness ApproachAlveiro Alonso Rosado Gomez, Maritza Liliana Calderón-Benavides. 1152-1154 [doi]
• Using Causal Inference to Solve Uncertainty Issues in Dataset ShiftSong Shuang, Muhammad Syafiq Bin Mohd Pozi. 1155-1157 [doi]
• Multi-Granular Text Classification with Minimal SupervisionYunyi Zhang. 1158-1160 [doi]
• Augmenting Keyword-based Search in Mobile Applications Using LLMsHarikrishnan C, Giridhar Sreenivasa Murthy, Kumar Rangarajan. 1161-1162 [doi]
• Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case StudySudeep Das, Raghav Saboo, Chaitanya S. K. Vadrevu, Bruce Wang, Steven Xu. 1163-1164 [doi]
• Scaling Use-case Based Shopping using LLMsSachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee. 1165-1166 [doi]
• HealAI: A Healthcare LLM for Effective Medical DocumentationSagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, Jeff Ward. 1167-1168 [doi]
• Mitigating Factual Inconsistency and Hallucination in Large Language ModelsMuneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina. 1169-1170 [doi]
• Recent Advances in Refinement RecommendationsAkshay Jagatap, Sachin Farfade. 1171-1172 [doi]
• Foundation Models for Aerial RoboticsAshish Kapoor. 1173 [doi]
• Scaling Up LLM Reviews for Google Ads Content ModerationWei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek. 1174-1175 [doi]
• Customer Understanding for Recommender SystemsMd. Mostafizur Rahman, Yu Hirate. 1176-1177 [doi]
• "Maya"- A Conversational Shopping Assistant for Fashion at MyntraAkhil Raj, Hrishikesh Ganu, Saikat Kumar Das, R. Sandeep, Satyajeet Singh, Sreekanth Vempati. 1178-1179 [doi]
• Journey of Hallucination-minimized Generative AI Solutions for Financial Decision MakersSohini Roychowdhury. 1180-1181 [doi]
• Accelerating Pharmacovigilance using Large Language ModelsMukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina. 1182-1183 [doi]
• Automated Tailoring of Large Language Models for Industry-Specific Downstream TasksShreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina. 1184-1185 [doi]
• Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMsJianling Wang, Haokai Lu, Minmin Chen. 1186-1187 [doi]
• Lessons Learnt from Building Friend Recommendation SystemsJun Yu. 1188-1189 [doi]
• AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior ModelingJiawei Zhang, Shimin Yang, Liang Shen. 1190-1191 [doi]
• Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020Hermelando Cruz-Pérez, Alejandro Molina-Villegas. 1192-1193 [doi]
• Genomic-World Fungi Data: Synteny PartPedro Escobar-Turriza, Luis Muñoz-Miranda, Alejandro Pereira-Santana. 1194-1195 [doi]
• Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position DataJosé Ignacio Huertas, Luisa Fernanda Chaparro Sierra. 1196-1197 [doi]
• Integrating Knowledge Graph Data with Large Language Models for Explainable InferenceCarlos Efrain Quintero Narvaez, Raúl Monroy. 1198-1199 [doi]
• Preserving Heritage: Developing a Translation Tool for Indigenous DialectsMelissa Robles, Cristian A. Martínez, Juan C. Prieto, Sara Palacios, Rubén Manrique. 1200-1203 [doi]
• Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining TechniquesJonathan Zárate-Cartas, Alejandro Molina-Villegas. 1204-1205 [doi]
• WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and SocietyMichael Bendersky, Cheng Li 0012, Qiaozhu Mei, Vanessa Murdock 0001, Jie Tang 0001, Hongning Wang, Hamed Zamani, Mingyang Zhang. 1206-1207 [doi]
• The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024)Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis. 1208-1209 [doi]
• The 5th International Workshop on Machine Learning on Graphs (MLoG)Tyler Derr, Yao Ma 0001, Kaize Ding, Tong Zhao, Nesreen K. Ahmed. 1210-1211 [doi]
• Integrity 2024: Integrity in Social Networks and MediaLluís Garcia Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, Aristides Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco 0001, Anton Andryeyev, Stefano Cresci, Timos Sellis, Anthony McCosker. 1212-1213 [doi]
• WSDM 2024 Workshop on Representation Learning & ClusteringLazhar Labiod, Mohamed Nadif, Aghiles Salah. 1214-1215 [doi]
• Psychology-informed Information Access Systems WorkshopMarkus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex. 1216-1217 [doi]