Table of Contents

• Generative Information RetrievalMarc Najork. 1 [doi]
• On the "Rough Use" of Machine Learning TechniquesChih-Jen Lin. 2 [doi]
• Bridging Quantitative and Qualitative Digital Experience TestingRanjitha Kumar. 3-4 [doi]
• Tasks, Copilots, and the Future of SearchRyen W. White. 5-6 [doi]
• Adaptive Popularity Debiasing Aggregator for Graph Collaborative FilteringHuachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang 0001. 7-17 [doi]
• On the Impact of Outlier Bias on User ClicksFatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke. 18-27 [doi]
• Rectifying Unfairness in Recommendation Feedback LoopMengyue Yang, Jun Wang, Jean-Francois Ton. 28-37 [doi]
• Contrastive Box Embedding for Collaborative ReasoningTingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin. 38-47 [doi]
• Learning to Re-rank with Constrained Meta-Optimal TransportAndrés Hoyos Idrobo. 48-57 [doi]
• Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationHanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu 0001, Lei Zhao 0001, Yanchi Liu, Victor S. Sheng. 58-67 [doi]
• MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential RecommendationKibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park. 68-77 [doi]
• Frequency Enhanced Hybrid Attention Network for Sequential RecommendationXinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu 0001, Yanchi Liu, Victor S. Sheng. 78-88 [doi]
• Meta-optimized Contrastive Learning for Sequential RecommendationXiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu 0001, Yanchi Liu, Victor S. Sheng. 89-98 [doi]
• Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential RecommendationChengkai Huang, Shoujin Wang, Xianzhi Wang 0001, Lina Yao 0001. 99-109 [doi]
• A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question AnsweringAlireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani. 110-120 [doi]
• A Personalized Dense Retrieval Framework for Unified Information AccessHansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani. 121-130 [doi]
• Constructing Tree-based Index for Efficient and Effective Dense RetrievalHaitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu 0001, Zheng Liu, Zhao Cao. 131-140 [doi]
• One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid SearchWei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin. 141-151 [doi]
• Lexically-Accelerated Dense RetrievalHrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder. 152-162 [doi]
• Multivariate Representation Learning for Information RetrievalHamed Zamani, Michael Bendersky. 163-173 [doi]
• Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based ReasoningYunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li. 174-184 [doi]
• MGeo: Multi-Modal Geographic Language Model Pre-TrainingRuixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu. 185-194 [doi]
• Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence SummarizationDengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie. 195-204 [doi]
• SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic InformationFang Guo, Yun Luo, Linyi Yang, Yue Zhang 0004. 205-215 [doi]
• Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsNa Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert. 216-226 [doi]
• Prompt Learning for News RecommendationZizhuo Zhang, Bang Wang. 227-237 [doi]
• Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive RecommendationChongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang 0018, Zhong Zhang 0004, Xiangnan He 0001. 238-248 [doi]
• Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk MinimizationShashank Gupta, Harrie Oosterhuis, Maarten de Rijke. 249-258 [doi]
• HDNR: A Hyperbolic-Based Debiased Approach for Personalized News RecommendationShicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu. 259-268 [doi]
• Measuring Item Global Residual Value for Fair RecommendationJiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang. 269-278 [doi]
• Distributionally Robust Sequential RecommnedationRui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng 0001, Xu Chen. 279-288 [doi]
• LinRec: Linear Attention Mechanism for Long-term Sequential Recommender SystemsLangming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang 0001, Ming He, Zitao Liu, Qing Li. 289-299 [doi]
• Poisoning Self-supervised Learning Based Sequential RecommendationsYanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li. 300-310 [doi]
• Towards Multi-Interest Pre-training with Sparse Capsule NetworkZuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li. 311-320 [doi]
• Graph Masked Autoencoder for Sequential RecommendationYaowen Ye, Lianghao Xia, Chao Huang 0001. 321-330 [doi]
• A Generic Learning Framework for Sequential Recommendation with Distribution ShiftsZhengyi Yang, Xiangnan He 0001, Jizhi Zhang, Jiancan Wu, Xin Xin 0003, Jiawei Chen, Xiang Wang 0010. 331-340 [doi]
• Single-shot Feature Selection for Multi-task RecommendationsYejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen 0023, Huifeng Guo, Ruiming Tang, Zhenhua Dong. 341-351 [doi]
• Knowledge-enhanced Multi-View Graph Neural Networks for Session-based RecommendationQian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li 0001. 352-361 [doi]
• Knowledge-refined Denoising Network for Robust RecommendationXinjun Zhu, Yuntao Du 0002, Yuren Mao, Lu Chen 0001, Yujia Hu, Yunjun Gao. 362-371 [doi]
• Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware RecommendationJihu Wang, Yuliang Shi, Han Yu 0001, Xinjun Wang, Zhongmin Yan, Fanyu Kong. 372-382 [doi]
• EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI RecommendationXinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu. 383-392 [doi]
• Adaptive Graph Representation Learning for Next POI RecommendationZhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu. 393-402 [doi]
• Spatio-Temporal Hypergraph Learning for Next POI RecommendationXiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu. 403-412 [doi]
• Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data SparsityXiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu. 413-422 [doi]
• Model-Agnostic Decentralized Collaborative Learning for On-Device POI RecommendationJing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng 0001, Hongzhi Yin. 423-432 [doi]
• Learning Fine-grained User Interests for Micro-video RecommendationYu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li. 433-442 [doi]
• Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia RecommendationJinghao Zhang, Qiang Liu, Shu Wu, Liang Wang. 443-452 [doi]
• DisCover: Disentangled Music Representation Learning for Cover Song IdentificationJiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu 0001. 453-463 [doi]
• A Scalable Framework for Automatic Playlist Continuation on Music Streaming ServicesWalid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave. 464-474 [doi]
• MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video RetrievalSeong-Min Kang, Yoon-Sik Cho. 475-484 [doi]
• BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific ExpertsYuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo. 485-495 [doi]
• Multi-behavior Self-supervised Learning for RecommendationJingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai. 496-505 [doi]
• Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and PromptingZhihao Wen, Yuan Fang 0001. 506-516 [doi]
• Multi-Scenario Ranking with Adaptive Feature LearningYu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu 0015, Bo Zheng, Qian Wang, Chenliang Li. 517-526 [doi]
• LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session MixupHeeyoon Yang, Yunseok Choi, Gahyung Kim, Jee-Hyong Lee 0001. 527-536 [doi]
• Curse of "Low" Dimensionality in Recommender SystemsNaoto Ohsaka, Riku Togashi. 537-547 [doi]
• Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationLiangCai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang. 548-557 [doi]
• An Offline Metric for the Debiasedness of Click ModelsRomain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke. 558-568 [doi]
• Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding ModelsJiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen. 569-579 [doi]
• Smooth Operators for Effective Systematic Review QueriesHarrisen Scells, Ferdinand Schlatt, Martin Potthast. 580-590 [doi]
• Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity RecognitionJingyun Xu, Yi Cai 0001. 591-600 [doi]
• Continual Learning on Dynamic Graphs via Parameter IsolationPeiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie 0001, Guojie Song, Sunghun Kim. 601-611 [doi]
• Subgraph Search over Neural-Symbolic GraphsYe Yuan 0001, Delong Ma, Anbiao Wu, Jianbin Qin. 612-621 [doi]
• StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming ScenariosJiasheng Zhang, Jie Shao, Bin Cui 0001. 622-631 [doi]
• Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and BeyondPaul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton 0001, Fabio Crestani. 632-642 [doi]
• Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural NetworksPhilipp Christmann, Rishiraj Saha Roy, Gerhard Weikum. 643-653 [doi]
• Multi-view Hypergraph Contrastive Policy Learning for Conversational RecommendationSen Zhao, Wei Wei 0002, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu 0001. 654-664 [doi]
• An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text ClassificationWashington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha 0001, Marcos André Gonçalves. 665-674 [doi]
• EDIndex: Enabling Fast Data Queries in Edge Storage SystemsQiang He 0001, Siyu Tan, Feifei Chen 0001, Xiaolong Xu 0001, Lianyong Qi, Xinhong Hei 0001, Hai Jin 0001, Yun Yang 0001. 675-685 [doi]
• Data-Aware Proxy Hashing for Cross-modal RetrievalRong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei 0002, Heyan Huang. 686-696 [doi]
• Asymmetric Hashing for Fast Ranking via Neural Network MeasuresKhoa D. Doan, Shulong Tan, Weijie Zhao 0001, Ping Li 0001. 697-707 [doi]
• Continuous Input Embedding Size Search For Recommender SystemsYunke Qu, Tong Chen 0005, Xiangyu Zhao, LiZhen Cui, Kai Zheng 0001, Hongzhi Yin. 708-717 [doi]
• Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance AssessmentsNirmal Roy, Agathe Balayn, David Maxwell 0001, Claudia Hauff. 718-728 [doi]
• Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing LabelsDan Li 0015, Maarten de Rijke. 729-738 [doi]
• Wisdom of Crowds and Fine-Grained Learning for Serendipity RecommendationsZhe Fu, Xi Niu, Li Yu. 739-748 [doi]
• Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in EnglishShucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu. 749-759 [doi]
• InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationSiddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar. 760-769 [doi]
• An Effective Framework for Enhancing Query Answering in a Heterogeneous Data LakeQin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang. 770-780 [doi]
• BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam SearchFarah Atif, Ola El Khatib, Djellel Eddine Difallah. 781-790 [doi]
• Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQAWei Peng, Wanshui Li, Yue Hu. 791-801 [doi]
• Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic EmbeddingSusik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han 0001. 802-811 [doi]
• BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal InformationJiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai. 812-821 [doi]
• Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic GraphsZiwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen. 822-831 [doi]
• Diffusion Recommender ModelWenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He 0001, Tat-Seng Chua. 832-841 [doi]
• Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State TrackingMingchen Li, Lifu Huang. 842-851 [doi]
• Weighted Knowledge Graph EmbeddingZhao Zhang 0011, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu. 867-877 [doi]
• Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension ScalingBin Shang, Yinliang Zhao, Di Wang, Jun Liu. 878-888 [doi]
• Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation PredictionZhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang 0006, Yong Dou. 889-899 [doi]
• Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionLinhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan. 900-910 [doi]
• Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph ConstructionYunzhi Yao, Shengyu Mao, Ningyu Zhang 0001, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen. 911-921 [doi]
• Contrastive State Augmentations for Reinforcement Learning-Based Recommender SystemsZhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin 0003. 922-931 [doi]
• Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentXin Xin 0003, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren. 932-941 [doi]
• When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?Yushun Dong, Jundong Li, Tobias Schnabel. 942-952 [doi]
• Session Search with Pre-trained Graph Classification ModelShengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian 0001, Xuhui Jiang. 953-962 [doi]
• Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector SpaceWei Tang 0013, Haifeng Sun 0001, Jingyu Wang, Qi Qi 0001, Jing Wang, Hao Yang, Shimin Tao. 963-972 [doi]
• Personalized Federated Relation Classification over Heterogeneous TextsNing Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao. 973-982 [doi]
• Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive DiagnosisWeibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang 0001. 983-992 [doi]
• Editable User Profiles for Controllable Text RecommendationsSheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani. 993-1003 [doi]
• Intent-aware Ranking Ensemble for Personalized RecommendationJiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue. 1004-1013 [doi]
• Personalized Retrieval over Millions of ItemsHemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma. 1014-1022 [doi]
• ML-LJP: Multi-Law Aware Legal Judgment PredictionYiFei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu 0001, Fei Wu, Kun Kuang. 1023-1034 [doi]
• SAILER: Structure-aware Pre-trained Language Model for Legal Case RetrievalHaitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu 0001, Chong Chen, Qi Tian. 1035-1044 [doi]
• Creating a Silver Standard for Patent SimplificationSilvia Casola, Alberto Lavelli, Horacio Saggion. 1045-1055 [doi]
• Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health SearchAnat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus. 1056-1065 [doi]
• Cone: Unsupervised Contrastive Opinion ExtractionRuncong Zhao, Lin Gui 0003, Yulan He 0001. 1066-1075 [doi]
• AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative FilteringGuanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang 0001. 1076-1085 [doi]
• Triple Structural Information Modelling for Accurate, Explainable and Interactive RecommendationJiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang 0060, Li Shang, Ning Gu. 1086-1095 [doi]
• Blurring-Sharpening Process Models for Collaborative FilteringJeongwhan Choi 0002, Seoyoung Hong 0001, Noseong Park, Sung-Bae Cho. 1096-1106 [doi]
• Collaborative Residual Metric LearningTianjun Wei, Jianghong Ma, Tommy W. S. Chow. 1107-1116 [doi]
• Generative-Contrastive Graph Learning for RecommendationYonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang 0015, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang. 1117-1126 [doi]
• Hydrus: Improving Personalized Quality of Experience in Short-form Video ServicesZhiyu Yuan, Kai Ren, Gang Wang, Xin Miao. 1127-1136 [doi]
• Disentangled Contrastive Collaborative FilteringXubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang 0001. 1137-1146 [doi]
• Aligning Distillation For Cold-start Item RecommendationFeiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen. 1147-1157 [doi]
• M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference EstimationZhenchao Wu, Xiao Zhou. 1158-1167 [doi]
• A Preference Learning Decoupling Framework for User Cold-Start RecommendationChunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang. 1168-1177 [doi]
• Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation SystemsNícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha 0001. 1178-1187 [doi]
• Topic-enhanced Graph Neural Networks for Extraction-based Explainable RecommendationJie Shuai, Le Wu, Kun Zhang 0015, Peijie Sun, Richang Hong, Meng Wang 0001. 1188-1197 [doi]
• Strategy-aware Bundle Recommender SystemYinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua. 1198-1207 [doi]
• Soft Prompt Decoding for Multilingual Dense RetrievalZhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan. 1208-1218 [doi]
• BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIRSuraj Nair, Eugene Yang, Dawn J. Lawrie, James Mayfield, Douglas W. Oard. 1219-1229 [doi]
• Representation and Labeling Gap Bridging for Cross-lingual Named Entity RecognitionXinghua Zhang 0001, Bowen Yu 0002, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu. 1230-1240 [doi]
• Rethinking Benchmarks for Cross-modal Image-text RetrievalWeiJing Chen, Linli Yao, Qin Jin. 1241-1251 [doi]
• Learnable Pillar-based Re-ranking for Image-Text RetrievalLeigang Qu, Meng Liu 0006, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua. 1252-1261 [doi]
• Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and TransformerMinyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou. 1262-1272 [doi]
• From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion RetrievalJianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu. 1273-1282 [doi]
• Multi-view Multi-aspect Neural Networks for Next-basket RecommendationZhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li. 1283-1292 [doi]
• Cross-Market Product-Related Question AnsweringNegin Ghasemi, Mohammad Aliannejadi, Hamed R. Bonab, Evangelos Kanoulas, Arjen P. de Vries, James Allan, Djoerd Hiemstra. 1293-1302 [doi]
• Next Basket Recommendation with Intent-aware Hypergraph Adversarial NetworkRan Li, Liang Zhang, Guannan Liu, Junjie Wu 0002. 1303-1312 [doi]
• When Search Meets Recommendation: Learning Disentangled Search Representation for RecommendationZihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen. 1313-1323 [doi]
• Unsupervised Readability Assessment via Learning from Weak Readability SignalsYuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu. 1324-1334 [doi]
• What If: Generating Code to Answer Simulation Questions in Chemistry TextsGal Peretz, Mousa Arraf, Kira Radinsky. 1335-1344 [doi]
• ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming AssignmentsSiqi Han, Yu Wang, Xuesong Lu. 1345-1354 [doi]
• A Geometric Framework for Query Performance Prediction in Conversational SearchGuglielmo Faggioli, Nicola Ferro 0001, Cristina Ioana Muntean, Raffaele Perego 0001, Nicola Tonellotto. 1355-1365 [doi]
• DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive LearningTianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang. 1366-1375 [doi]
• EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR PredictionZhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao. 1376-1385 [doi]
• Reformulating CTR Prediction: Learning Invariant Feature Interactions for RecommendationYang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He 0001, Yongdong Zhang 0001. 1386-1395 [doi]
• News Popularity Beyond the Click-Through-Rate for Personalized RecommendationsAshutosh Nayak, Mayur Garg, Rajasekhara Reddy Duvvuru Muni. 1396-1405 [doi]
• Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback AdvertisingQiming Liu, Haoming Li 0011, Xiang Ao 0001, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He 0003. 1406-1415 [doi]
• A Topic-aware Summarization Framework with Different Modal Side InformationXiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang 0001. 1416-1425 [doi]
• Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon. 1426-1436 [doi]
• FiD-Light: Efficient and Effective Retrieval-Augmented Text GenerationSebastian Hofstätter, Jiecao Chen, Karthik Raman 0001, Hamed Zamani. 1437-1447 [doi]
• A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt LearningJiangui Chen, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Yiqun Liu 0001, Yixing Fan, Xueqi Cheng. 1448-1457 [doi]
• RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-CompletionBolong Zheng, Lei Bi 0005, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou 0001, Christian S. Jensen. 1458-1467 [doi]
• M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain RecommendationZepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu 0014. 1468-1477 [doi]
• AutoTransfer: Instance Transfer for Cross-Domain RecommendationsJingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang. 1478-1487 [doi]
• Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link LearningYi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong. 1488-1497 [doi]
• PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario RecommendationsYuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang. 1498-1507 [doi]
• LightGT: A Light Graph Transformer for Multimedia RecommendationYinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua. 1508-1517 [doi]
• Dual Semantic Knowledge Composed Multimodal Dialog SystemsXiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua. 1518-1527 [doi]
• MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal ModelingZijia Zhao, Longteng Guo, Xingjian He, Shuai Shao 0005, Zehuan Yuan, Jing Liu. 1528-1538 [doi]
• Multimodal Counterfactual Learning Network for Multimedia-based RecommendationShuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue. 1539-1548 [doi]
• Law Article-Enhanced Legal Case Matching: A Causal Learning ApproachZhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen. 1549-1558 [doi]
• Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph ReasoningKe Liang 0006, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. 1559-1568 [doi]
• Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled NetworksGaël Poux-Médard, Julien Velcin, Sabine Loudcher. 1569-1577 [doi]
• DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph ReasoningShangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao. 1578-1588 [doi]
• Dynamic Graph Evolution Learning for RecommendationHaoran Tang, Shiqing Wu, Guandong Xu, Qing Li 0001. 1589-1598 [doi]
• Causal Decision Transformer for Recommender Systems via Offline Reinforcement LearningSiyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao. 1599-1608 [doi]
• SCHash: Speedy Simplicial Complex Neural Networks via Randomized HashingXuan Tan, Wei Wu 0011, Chuan Luo. 1609-1618 [doi]
• A Critical Reexamination of Intra-List Distance and DispersionNaoto Ohsaka, Riku Togashi. 1619-1628 [doi]
• Contrastive Learning for Signed Bipartite GraphsZeyu Zhang 0004, Jiamou Liu, Kaiqi Zhao 0001, Song Yang 0001, Xianda Zheng, Yifei Wang. 1629-1638 [doi]
• It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for RecommendationJaewan Moon, Hye-Young Kim, Jongwuk Lee. 1639-1648 [doi]
• Uncertainty Quantification for Extreme ClassificationJyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu. 1649-1659 [doi]
• Distillation-Enhanced Graph Masked Autoencoders for Bundle RecommendationYuyang Ren, Haonan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou. 1660-1669 [doi]
• Candidate-aware Graph Contrastive Learning for RecommendationWei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang. 1670-1679 [doi]
• Graph Transformer for RecommendationChaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu 0007, Chao Huang 0001. 1680-1689 [doi]
• Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its CountermeasuresWei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin. 1690-1699 [doi]
• Topic-oriented Adversarial Attacks against Black-box Neural Ranking ModelsYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Wei Chen 0013, Yixing Fan, Xueqi Cheng. 1700-1709 [doi]
• RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News RecommendationHao Jiang, Chuanzhen Li, JuanJuan Cai, Jingling Wang. 1710-1720 [doi]
• Seq-HGNN: Learning Sequential Node Representation on Heterogeneous GraphChenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong 0001. 1721-1730 [doi]
• A Lightweight Constrained Generation Alternative for Query-focused SummarizationZhichao Xu, Daniel Cohen. 1745-1749 [doi]
• A Mathematical Word Problem Generator with Structure Planning and Knowledge EnhancementLonghu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang 0038, Qi Liu 0003, Binbin Jin, Enhong Chen. 1750-1754 [doi]
• Mixup-based Unified Framework to Overcome Gender Bias ResurgenceLiu Yu, Yuzhou Mao, Jin Wu, Fan Zhou 0002. 1755-1759 [doi]
• A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender SystemFan Zhang, Qijie Shen. 1760-1764 [doi]
• A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment AnalysisZengzhi Wang, Qiming Xie, Rui Xia. 1765-1770 [doi]
• A Static Pruning Study on Sparse Neural RetrieversCarlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto. 1771-1775 [doi]
• A Unified Formulation for the Frequency Distribution of Word Frequencies using the Inverse Zipf's LawCan Özbey, Talha Çolakoglu, M. Safak Bilici, Ekin Can Erkus. 1776-1780 [doi]
• Adapting Learned Sparse Retrieval for Long DocumentsThong Nguyen, Sean MacAvaney, Andrew Yates. 1781-1785 [doi]
• ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR PredictionJinyun Li, Jinyun Li, Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, LiXia Wu, Haoyuan Hu. 1786-1790 [doi]
• Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent DetectionFeiteng Fang, Min Yang 0007, Chengming Li, Ruifeng Xu. 1791-1795 [doi]
• Affective Relevance: Inferring Emotional Responses via fNIRS NeuroimagingTuukka Ruotsalo, Kalle Mäkelä, Michiel M. A. Spapé, Luis A. Leiva. 1796-1800 [doi]
• Popularity Debiasing from Exposure to Interaction in Collaborative FilteringYuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng. 1801-1805 [doi]
• Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR PredictionCongcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, JingPing Shao. 1806-1810 [doi]
• Attacking Pre-trained RecommendationYiqing Wu, Ruobing Xie, Zhao Zhang 0011, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He 0003. 1811-1815 [doi]
• Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal RecommendationYan Zhou, Jie Guo 0008, Hao Sun, Bin Song 0001, Fei Richard Yu. 1816-1820 [doi]
• Attention Mixtures for Time-Aware Sequential RecommendationViet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin. 1821-1826 [doi]
• Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense RetrievalShengyao Zhuang, Linjun Shou, Guido Zuccon. 1827-1832 [doi]
• AutoDPQ: Automated Differentiable Product Quantization for Embedding CompressionXin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang 0001, Zitao Liu 0001. 1833-1837 [doi]
• Bayesian Knowledge-driven Critiquing with Indirect EvidenceArmin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner. 1838-1842 [doi]
• Behavior Modeling for Point of Interest SearchHaitian Chen, Qingyao Ai, Zhijing Wu 0001, Zhihong Wang, Yiqun Liu 0001, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai. 1843-1847 [doi]
• Benchmarking Middle-Trained Language Models for Neural SearchHervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal. 1848-1852 [doi]
• BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERSreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha. 1853-1858 [doi]
• BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate PredictionYin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo. 1859-1863 [doi]
• Calibration Learning for Few-shot Novel Product DescriptionZheng Liu, Mingjing Wu, Bo Peng, Yichao Liu, Qi Peng, Chong Zou. 1864-1868 [doi]
• Can Generative LLMs Create Query Variants for Test Collections? An Exploratory StudyMarwah Alaofi, Luke Gallagher, Mark Sanderson, Falk Scholer, Paul Thomas 0001. 1869-1873 [doi]
• Causal Disentangled Variational Auto-Encoder for Preference Understanding in RecommendationSiyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang 0001, Lina Yao 0001. 1874-1878 [doi]
• CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion ModelRan Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin. 1879-1883 [doi]
• Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerceYibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao 0006, Stephen Guo, Philip S. Yu. 1884-1888 [doi]
• Computational Versus Perceived Popularity Miscalibration in Recommender SystemsOleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl. 1889-1893 [doi]
• Connecting Unseen Domains: Cross-Domain Invariant Learning in RecommendationYang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang. 1894-1898 [doi]
• ConQueR: Contextualized Query Reduction using Search LogsHye-Young Kim, Minjin Choi 0001, Sunkyung Lee 0001, Eunseong Choi, Young-In Song, Jongwuk Lee. 1899-1903 [doi]
• Context-Aware Modeling via Simulated Exposure Page for CTR PredictionXiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang 0011, Xingxing Wang, Dong Wang. 1904-1908 [doi]
• Contrastive Learning for Conversion Rate PredictionWentao Ouyang, Rui Dong, Xiuwu Zhang, Chaofeng Guo, Jinmei Luo, Xiangzheng Liu, Yanlong Du. 1909-1913 [doi]
• Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial MarketingYunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He 0001. 1914-1918 [doi]
• Decomposing Logits Distillation for Incremental Named Entity RecognitionDuzhen Zhang, Yahan Yu, Feilong Chen, Xiuyi Chen. 1919-1923 [doi]
• Denoise to Protect: A Method to Robustify Visual Recommenders from AdversariesFelice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino. 1924-1928 [doi]
• DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of ThingsYimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun. 1929-1933 [doi]
• Dimension-Prompts Boost Commonsense ConsolidationJiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao 0001. 1934-1938 [doi]
• Disentangling User Conversations with Voice Assistants for Online ShoppingNikhita Vedula, Marcus D. Collins, Oleg Rokhlenko. 1939-1943 [doi]
• DocGraphLM: Documental Graph Language Model for Information ExtractionDongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah. 1944-1948 [doi]
• Edge-cloud Collaborative Learning with Federated and Centralized FeaturesZexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu. 1949-1953 [doi]
• SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted IndexesMinghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin. 1954-1959 [doi]
• Evaluating Cross-modal Generative Models Using Retrieval TaskShivangi Bithel, Srikanta Bedathur. 1960-1965 [doi]
• Event-Aware Adaptive Clustering Uplift Network for Insurance Creative RankingWanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen. 1966-1970 [doi]
• Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing ActivitiesKaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer. 1971-1975 [doi]
• Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse ApproximationMichael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal. 1976-1980 [doi]
• Exploiting Cluster-Skipping Inverted Index for Semantic Place RetrievalEnes Recep Cinar, Ismail Sengor Altingovde. 1981-1985 [doi]
• Exploiting Ubiquitous Mentions for Document-Level Relation ExtractionRuoyu Zhang, Yanzeng Li, Minhao Zhang, Lei Zou 0001. 1986-1990 [doi]
• Exploration of Unranked Items in Safe Online Learning to Re-RankHiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi. 1991-1995 [doi]
• Fairness for both Readers and Authors: Evaluating Summaries of User Generated ContentGarima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh 0001, Abhijnan Chakraborty. 1996-2000 [doi]
• Faster Dynamic Pruning via Reordering of Documents in Inverted IndexesErman Yafay, Ismail Sengor Altingovde. 2001-2005 [doi]
• FINAL: Factorized Interaction Layer for CTR PredictionJieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. 2006-2010 [doi]
• Forget Me Now: Fast and Exact Unlearning in Neighborhood-based RecommendationSebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke. 2011-2015 [doi]
• Friend Ranking in Online Games via Pre-training Edge TransformersLiang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai 0001, Feng He, Xu Cheng. 2016-2020 [doi]
• Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph LearningHongxiang Lin, Ruiqi Jia, Xiaoqing Lyu. 2021-2025 [doi]
• Generative Relevance Feedback with Large Language ModelsIain Mackie, Shubham Chatterjee, Jeffrey Dalton 0001. 2026-2031 [doi]
• Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task LearningXuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng. 2032-2036 [doi]
• Graph Collaborative Signals Denoising and Augmentation for RecommendationZiwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu. 2037-2041 [doi]
• Neighborhood-based Hard Negative Mining for Sequential RecommendationLu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu 0003. 2042-2046 [doi]
• Hierarchical Type Enhanced Negative Sampling for Knowledge Graph EmbeddingZhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen. 2047-2051 [doi]
• HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented PromptingJiaying Lu 0001, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang. 2052-2056 [doi]
• How Significant Attributes are in the Community Detection of Attributed Multiplex NetworksJunwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang 0001. 2057-2061 [doi]
• HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph TransformerKaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu 0001, Derek Zhiyuan Cheng. 2062-2066 [doi]
• Best Prompts for Text-to-Image Models and How to Find ThemNikita Pavlichenko, Dmitry Ustalov. 2067-2071 [doi]
• Improved Vector Quantization For Dense Retrieval with Contrastive DistillationJames O'Neill, Sourav Dutta. 2072-2076 [doi]
• Improving Conversational Passage Re-ranking with View EnsembleJia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang. 2077-2081 [doi]
• Improving News Recommendation via Bottlenecked Multi-task Pre-trainingXiongfeng Xiao, Qing Li, Songlin Liu, Kun Zhou. 2082-2086 [doi]
• Inference at Scale: Significance Testing for Large Search and Recommendation ExperimentsNgozi Ihemelandu, Michael D. Ekstrand. 2087-2091 [doi]
• LADER: Log-Augmented DEnse Retrieval for Biomedical Literature SearchQiao Jin 0001, Andrew Shin, Zhiyong Lu. 2092-2097 [doi]
• LAPCA: Language-Agnostic Pretraining with Cross-Lingual AlignmentDmitry Abulkhanov, Nikita Sorokin, Sergey Nikolenko, Valentin Malykh. 2098-2102 [doi]
• Learning from Crowds with Annotation ReliabilityZhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang. 2103-2107 [doi]
• Learning Through Interpolative Augmentation of Dynamic Curvature SpacesParth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava. 2108-2112 [doi]
• Learning to Ask Clarification Questions with Spatial ReasoningYang Deng 0002, Shuaiyi Li, Wai Lam. 2113-2117 [doi]
• Learning to Ask Questions for Zero-shot Dialogue State TrackingDiogo Tavares, David Semedo, Alexander Rudnicky, João Magalhães. 2118-2122 [doi]
• Limitations of Open-Domain Question Answering Benchmarks for Document-level ReasoningEhsan Kamalloo, Charles L. A. Clarke, Davood Rafiei. 2123-2128 [doi]
• LogicRec: Recommendation with Users' Logical RequirementsZhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang 0001, Scott Sanner. 2129-2133 [doi]
• Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time FeaturesSeonmin Kim, Dong-Kyu Chae. 2134-2138 [doi]
• LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online AdvertisingLingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, JingPing Shao. 2139-2143 [doi]
• MA-MRC: A Multi-answer Machine Reading Comprehension DatasetZhiang Yue, JingPing Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan. 2144-2148 [doi]
• Matching Point of Interests and Travel Blog with Multi-view Information FusionShuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou. 2149-2153 [doi]
• MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token PairsEduardo Brito, Henri Iser. 2154-2158 [doi]
• MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel FeedXiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang 0011, Xingxing Wang, Dong Wang. 2159-2163 [doi]
• MDKG: Graph-Based Medical Knowledge-Guided Dialogue GenerationUsman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim. 2164-2168 [doi]
• Measuring Service-Level Learning Effects in Search Via Query-Randomized ExperimentsPaul Musgrave, Cuize Han, Parth Gupta. 2169-2173 [doi]
• Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based RecommendationKai Ouyang, Xianghong Xu 0001, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng 0002, Shuangyong Song, Yu Zhao. 2174-2178 [doi]
• Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender SystemsTianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang 0003, Lihong Gu, Jinjie Gu, Guannan Zhang. 2179-2183 [doi]
• Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click ConversionMenghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang 0001. 2184-2188 [doi]
• Multi-Grained Topological Pre-Training of Language Models in Sponsored SearchZhoujin Tian, Chaozhuo Li, Zhiqiang Zuo 0004, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang. 2189-2193 [doi]
• Multi-grained Representation Learning for Cross-modal RetrievalShengwei Zhao, Linhai Xu, Yuying Liu, Shaoyi Du. 2194-2198 [doi]
• Multiple Topics Community Detection in Attributed NetworksChaobo He, Junwei Cheng, Guohua Chen, Yong Tang. 2199-2203 [doi]
• NC2T: Novel Curriculum Learning Approaches for Cross-Prompt Trait ScoringYejin Lee 0008, Seokwon Jeong, Hongjin Kim, Tae-il Kim, Sung-Won Choi, Harksoo Kim. 2204-2208 [doi]
• Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense RetrievalXueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun 0001. 2209-2214 [doi]
• On Answer Position Bias in Transformers for Question AnsweringRafael Glater, Rodrygo L. T. Santos. 2215-2219 [doi]
• On the Effects of Regional Spelling Conventions in Retrieval ModelsAndreas Chari, Sean MacAvaney, Iadh Ounis. 2220-2224 [doi]
• On the Impact of Data Quality on Image Classification FairnessAki Barry, Lei Han 0003, Gianluca Demartini. 2225-2229 [doi]
• One-Shot Labeling for Automatic Relevance EstimationSean MacAvaney, Luca Soldaini. 2230-2235 [doi]
• Optimizing Reciprocal Rank with Bayesian Average for improved Next Item RecommendationXiangkui Lu, Jun Wu, Jianbo Yuan. 2236-2240 [doi]
• Patterns of Gender-Specializing Query ReformulationAmifa Raj, Bhaskar Mitra 0001, Nick Craswell, Michael D. Ekstrand. 2241-2245 [doi]
• Personalized Dynamic Recommender System for InvestorsTakehiro Takayanagi, Chung-Chi Chen 0001, Kiyoshi Izumi. 2246-2250 [doi]
• Personalized Showcases: Generating Multi-Modal Explanations for RecommendationsAn Yan 0003, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley. 2251-2255 [doi]
• PersonalTM: Transformer Memory for Personalized RetrievalRuixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo. 2256-2260 [doi]
• PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via PromptingZixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen. 2261-2265 [doi]
• Power Norm Based Lifelong Learning for Paraphrase GenerationsDingcheng Li, Peng Yang, Yue Zhang, Ping Li 0001. 2266-2271 [doi]
• Prediction then Correction: An Abductive Prediction Correction Method for Sequential RecommendationYulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng. 2272-2276 [doi]
• Priming and Actions: An Analysis in Conversational Search SystemsXiao Fu, Aldo Lipani. 2277-2281 [doi]
• Private Meeting Summarization Without Performance LossSeolhwa Lee, Anders Søgaard. 2282-2286 [doi]
• Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue GenerationLei Liu, Jimmy Xiangji Huang. 2287-2292 [doi]
• Quantifying and Leveraging User Fatigue for Interventions in Recommender SystemsHitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra. 2293-2297 [doi]
• Quantifying Ranker Coverage of Different Query SubspacesNegar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad, Ebrahim Bagheri. 2298-2302 [doi]
• Query-specific Variable Depth Pooling via Query Performance PredictionDebasis Ganguly, Emine Yilmaz. 2303-2307 [doi]
• RankT5: Fine-Tuning T5 for Text Ranking with Ranking LossesHonglei Zhuang, Zhen Qin 0001, Rolf Jagerman, Kai Hui 0001, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky. 2308-2313 [doi]
• Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow FeaturesRafael Ferreira 0003, David Semedo, João Magalhães. 2314-2318 [doi]
• Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceXuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu. 2319-2323 [doi]
• Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic AugmentationTianshu Yu, Min Yang, Chengming Li, Ruifeng Xu. 2324-2328 [doi]
• Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document RetrievalYifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang 0009. 2329-2333 [doi]
• Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph CompletionDonghan Yu, Yiming Yang. 2334-2338 [doi]
• Review-based Multi-intention Contrastive Learning for RecommendationWei Yang, Tengfei Huo, Zhiqiang Liu, Chi Lu. 2339-2343 [doi]
• RewardTLG: Learning to Temporally Language Grounding from Flexible RewardYawen Zeng, Keyu Pan, Ning Han. 2344-2348 [doi]
• Robust Causal Inference for Recommender System to Overcome Noisy ConfoundersZhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang. 2349-2353 [doi]
• Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender SystemsPatrik Dokoupil, Ladislav Peska, Ludovico Boratto. 2354-2358 [doi]
• Searching for Products in Virtual Reality: Understanding the Impact of Context and Result Presentation on User ExperienceAustin R. Ward, Sandeep Avula, Hao Fei Cheng, Sheikh Muhammad Sarwar, Vanessa Murdock 0001, Eugene Agichtein. 2359-2363 [doi]
• SelfLRE: Self-refining Representation Learning for Low-resource Relation ExtractionXuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu. 2364-2368 [doi]
• Sharpness-Aware Graph Collaborative FilteringHuiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng 0001, JunPeng Wang, Vivian Lai, Mahashweta Das, Hao Yang. 2369-2373 [doi]
• Simple Approach for Aspect Sentiment Triplet Extraction Using Span-Based Segment Tagging and Dual ExtractorsDongxu Li, Zhihao Yang, Yuquan Lan, Yunqi Zhang, Hui Zhao, Gang Zhao. 2374-2378 [doi]
• Simpler is Much Faster: Fair and Independent Inner Product SearchKazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara. 2379-2383 [doi]
• Simplifying Content-Based Neural News Recommendation: On User Modeling and Training ObjectivesAndreea Iana, Goran Glavas, Heiko Paulheim. 2384-2388 [doi]
• SimTDE: Simple Transformer Distillation for Sentence EmbeddingsJian Xie, Xin He, Jiyang Wang, Zimeng Qiu, Ali Kebarighotbi, Farhad Ghassemi. 2389-2393 [doi]
• Sinkhorn Transformations for Single-Query Postprocessing in Text-Video RetrievalKonstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey Nikolenko, Irina Piontkovskaya. 2394-2398 [doi]
• SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for RetrievalWeize Kong, Jeffrey M. Dudek, Cheng Li 0012, Mingyang Zhang 0001, Michael Bendersky. 2399-2403 [doi]
• Surprise: Result List Truncation via Extreme Value TheoryDara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins. 2404-2408 [doi]
• ExaRanker: Synthetic Explanations Improve Neural RankersFernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira. 2409-2414 [doi]
• TAML: Time-Aware Meta Learning for Cold-Start Problem in News RecommendationJingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou. 2415-2419 [doi]
• Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural LanguageNicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok. 2420-2425 [doi]
• The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual ExamplesZiheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei. 2426-2430 [doi]
• The Tale of Two MSMARCO - and Their Unfair ComparisonsCarlos Lassance, Stéphane Clinchant. 2431-2435 [doi]
• Think Rationally about What You See: Continuous Rationale Extraction for Relation ExtractionXuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu. 2436-2440 [doi]
• Towards Robust Knowledge Tracing Models via k-Sparse AttentionShuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo 0002, Jian Weng 0001. 2441-2445 [doi]
• TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory DataYueyang Su, Di Yao 0001, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi. 2446-2450 [doi]
• TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional NetworksMin-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim. 2451-2455 [doi]
• uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative FilteringJae Woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee. 2456-2460 [doi]
• Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance ControlYi Ren, Hongyan Tang, Jiangpeng Rong, Siwen Zhu. 2461-2465 [doi]
• Uncertainty-aware Consistency Learning for Cold-Start Item RecommendationTaichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li. 2466-2470 [doi]
• Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation SystemAng Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min. 2471-2475 [doi]
• Unsupervised Dense Retrieval Training with Web AnchorsYiqing Xie, Xiao Liu, Chenyan Xiong. 2476-2480 [doi]
• Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive LearningHaoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li. 2481-2485 [doi]
• Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank PreferencesAshutosh Singh, Debasis Ganguly, Suchana Datta, Craig McDonald. 2486-2490 [doi]
• User-Dependent Learning to Debias for RecommendationFangyuan Luo, Jun Wu. 2491-2495 [doi]
• Using Entropy for Group Sampling in Pairwise Ranking from implicit feedbackYujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang. 2496-2500 [doi]
• Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage TrainingRan Xu, Yue Yu, Joyce C. Ho, Carl Yang. 2501-2505 [doi]
• When the Music Stops: Tip-of-the-Tongue Retrieval for MusicSamarth Bhargav, Anne Schuth, Claudia Hauff. 2506-2510 [doi]
• Where Does Your News Come From? Predicting Information Pathways in Social MediaAlexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang 0010. 2511-2515 [doi]
• Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning FrameworkChunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi. 2516-2520 [doi]
• WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative FilteringYankai Chen 0001, Yifei Zhang, Menglin Yang 0001, Zixing Song, Chen Ma 0001, Irwin King. 2521-2525 [doi]
• EmoUS: Simulating User Emotions in Task-Oriented DialoguesHsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic. 2526-2531 [doi]
• Repetition and Exploration in Sequential RecommendationMing Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke. 2532-2541 [doi]
• Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility StudyShuai Wang, Guido Zuccon. 2542-2551 [doi]
• Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to ColXiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis. 2552-2561 [doi]
• On Stance Detection in Image Retrieval for ArgumentationMiriam Louise Carnot, Lorenz Heinemann, Jan Braker, Tobias Schreieder, Johannes Kiesel, Maik Fröbe, Martin Potthast, Benno Stein 0001. 2562-2571 [doi]
• Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability StudyJoakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe. 2572-2582 [doi]
• Query Performance Prediction: From Ad-hoc to Conversational SearchChuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke. 2583-2593 [doi]
• An Empirical Comparison of Web Content Extraction AlgorithmsJanek Bevendorff, Sanket Gupta, Johannes Kiesel, Benno Stein 0001. 2594-2603 [doi]
• Multimodal Neural DatabasesGiovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri. 2619-2628 [doi]
• Take a Fresh Look at Recommender Systems from an Evaluation StandpointAixin Sun. 2629-2638 [doi]
• Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models RevisitedZheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni. 2639-2649 [doi]
• The Role of Relevance in Fair RankingAparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega. 2650-2660 [doi]
• How Important is Periodic Model update in Recommender System?Hyunsung Lee, Sungwook Yoo, Dongjun Lee, Jaekwang Kim. 2661-2668 [doi]
• Metric-agnostic Ranking OptimizationQingyao Ai, Xuanhui Wang, Michael Bendersky. 2669-2680 [doi]
• T2Ranking: A Large-scale Chinese Benchmark for Passage RankingXiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu 0001, Xiangsheng Li, Haitao Li, Yiqun Liu 0001, Jin Ma. 2681-2690 [doi]
• BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business DomainsPetr Babkin, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah. 2691-2700 [doi]
• Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and ProspectsXinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin 0006, Yew-Soon Ong, Lu Lu, Zejun Ma. 2701-2711 [doi]
• SocialDial: A Benchmark for Socially-Aware Dialogue SystemsHaolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari. 2712-2722 [doi]
• U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational RecommendationYuanxing Liu 0001, Weinan Zhang 0003, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che. 2723-2732 [doi]
• End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and ModelsBarry Menglong Yao, Aditya Shah, Lichao Sun 0001, Jin-Hee Cho, Lifu Huang. 2733-2743 [doi]
• Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language RetrievalHaochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner. 2744-2753 [doi]
• Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation DatasetArun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski. 2754-2764 [doi]
• Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset CollectionMartin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde. 2765-2774 [doi]
• MG-ShopDial: A Multi-Goal Conversational Dataset for e-CommerceNolwenn Bernard, Krisztian Balog. 2775-2785 [doi]
• Towards Explainable Conversational Recommender SystemsShuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren. 2786-2795 [doi]
• The JOKER Corpus: English-French Parallel Data for Multilingual Wordplay RecognitionLiana Ermakova, Anne-Gwenn Bosser, Adam Jatowt, Tristan Miller. 2796-2806 [doi]
• Form-NLU: Dataset for the Form Natural Language UnderstandingYihao Ding, Siqu Long, Jiabin Huang 0005, Kaixuan Ren, Xingxiang Luo, Hyunsuk Chung, Soyeon Caren Han. 2807-2816 [doi]
• MMEAD: MS MARCO Entity Annotations and DisambiguationsChris Kamphuis, Aileen Lin, Siwen Yang, Jimmy Lin, Arjen P. de Vries, Faegheh Hasibi. 2817-2825 [doi]
• The Information Retrieval Experiment PlatformMaik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein 0001, Matthias Hagen, Martin Potthast. 2826-2836 [doi]
• Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender SystemsLanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen. 2837-2847 [doi]
• The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesJan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein 0001, Matthias Hagen, Martin Potthast. 2848-2860 [doi]
• GammaGL: A Multi-Backend Library for Graph Neural NetworksYaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi. 2861-2870 [doi]
• tieval: An Evaluation Framework for Temporal Information Extraction SystemsHugo Sousa, Ricardo Campos 0001, Alípio Mário Jorge. 2871-2879 [doi]
• HC3: A Suite of Test Collections for CLIR Evaluation over Informal TextDawn J. Lawrie, James Mayfield, Douglas W. Oard, Eugene Yang, Suraj Nair, Petra Galuscáková. 2880-2889 [doi]
• RecStudio: Towards a Highly-Modularized Recommender SystemDefu Lian, Xu Huang, Xiaolong Chen, Jin Chen 0008, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen. 2890-2900 [doi]
• MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social MediaXuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu. 2901-2912 [doi]
• BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-AnalysisDavid Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell. 2913-2923 [doi]
• MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCsJifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao 0002, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang. 2924-2934 [doi]
• RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender SystemKai Wang, Zhene Zou, Minghao Zhao 0002, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan. 2935-2944 [doi]
• JDsearch: A Personalized Product Search Dataset with Real Queries and Full InteractionsJiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu. 2945-2952 [doi]
• iQPP: A Benchmark for Image Query Performance PredictionEduard Poesina, Radu-Tudor Ionescu, Josiane Mothe. 2953-2963 [doi]
• SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse RetrievalNandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin. 2964-2974 [doi]
• AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content CreationJheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin. 2975-2984 [doi]
• DICE: a Dataset of Italian Crime Event newsGiovanni Bonisoli, Maria Pia di Buono, Laura Po, Federica Rollo. 2985-2995 [doi]
• BDI-Sen: A Sentence Dataset for Clinical Symptoms of DepressionAnxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa. 2996-3006 [doi]
• MobileRec: A Large Scale Dataset for Mobile Apps RecommendationMuhammad Hasan Maqbool, Umar Farooq 0002, Adib Mosharrof, A. B. Siddique 0001, Hassan Foroosh. 3007-3016 [doi]
• MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question AnsweringYang Bai, Anthony Colas, Daisy Zhe Wang. 3017-3026 [doi]
• RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data StreamsGabriel Iturra-Bocaz, Felipe Bravo-Marquez. 3027-3036 [doi]
• FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated LearningPenghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng. 3037-3046 [doi]
• The BETTER Cross-Language DatasetsIan Soboroff. 3047-3053 [doi]
• REFinD: Relation Extraction Financial DatasetSimerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah. 3054-3063 [doi]
• Linked-DocRED - Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction PipelinesPierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Martino Lovisetto. 3064-3074 [doi]
• DECAF: A Modular and Extensible Conversational Search FrameworkMarco Alessio, Guglielmo Faggioli, Nicola Ferro 0001. 3075-3085 [doi]
• LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search EvaluationPetra Galuscáková, Romain Deveaud, Gabriela González Sáez, Philippe Mulhem, Lorraine Goeuriot, Florina Piroi, Martin Popel. 3086-3094 [doi]
• LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural RetrievalChaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao. 3095-3099 [doi]
• A Preference Judgment Tool for Authoritative AssessmentMahsa Seifikar, Linh Nhi Phan Minh, Negar Arabzadeh, Charles L. A. Clarke, Mark D. Smucker. 3100-3104 [doi]
• VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search TasksWojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury. 3105-3109 [doi]
• Searching the ACL Anthology with Math Formulas and TextBryan Amador, Matt Langsenkamp, Abhisek Dey, Ayush Kumar Shah, Richard Zanibbi. 3110-3114 [doi]
• One Stop Shop for Question-Answering Dataset SelectionChang Nian Chuy, Qinmin Vivian Hu, Chen Ding. 3115-3119 [doi]
• Tevatron: An Efficient and Flexible Toolkit for Neural RetrievalLuyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan. 3120-3124 [doi]
• Profiling and Visualizing Dynamic Pruning AlgorithmsZhixuan Li, Joel Mackenzie. 3125-3129 [doi]
• MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via TwitterJianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li. 3130-3134 [doi]
• SciHarvester: Searching Scientific Documents for Numerical ValuesMaciej Rybinski, Stephen Wan 0001, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth. 3135-3139 [doi]
• NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation LearningWen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen. 3140-3144 [doi]
• AMICA: Alleviating Misinformation for Chinese AmericansXiaoxiao Shang, Ye Chen, Yi Fang 0008, Yuhong Liu, Subramaniam Vincent. 3145-3149 [doi]
• PEPO: Petition Executing Processing Optimizer Based on Natural Language ProcessingYin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh. 3150-3154 [doi]
• HeteroCS: A Heterogeneous Community Search System With Semantic ExplanationWeibin Cai, Fanwei Zhu, Zemin Liu, Minghui Wu. 3155-3159 [doi]
• OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval ToolkitShi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu 0001. 3160-3164 [doi]
• FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling ModelsMohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca. 3165-3169 [doi]
• Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim VerificationZien Sheikh Ali, Watheq Mansour, Fatima Haouari, Maram Hasanain, Tamer Elsayed, Abdulaziz Al-Ali 0001. 3170-3174 [doi]
• SEA: A Scalable Entity Alignment SystemJunyang Wu, Tianyi Li 0005, Lu Chen, Yunjun Gao, Ziheng Wei. 3175-3179 [doi]
• A Retrieval System for Images and Videos based on Aesthetic Assessment of VisualsDaniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus H. Gross. 3180-3184 [doi]
• XpmIR: A Modular Library for Learning to Rank and Neural IR ExperimentsYuxuan Zong, Benjamin Piwowarski. 3185-3189 [doi]
• pybool_ir: A Toolkit for Domain-Specific Search ExperimentsHarrisen Scells, Martin Potthast. 3190-3194 [doi]
• TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film StudiesMatthias Springstein, Markos Stamatakis, Margret Plank, Julian Sittel, Roman Mauer, Oksana Bulgakowa, Ralph Ewerth, Eric Müller-Budack. 3195-3199 [doi]
• SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration NetworksLucio La Cava, Davide Costa, Andrea Tagarelli. 3200-3204 [doi]
• Searching for Reliable Facts over a Medical Knowledge BaseFabio Giachelle, Stefano Marchesin 0001, Gianmaria Silvello, Omar Alonso. 3205-3209 [doi]
• ranxhub: An Online Repository for Information Retrieval RunsElias Bassani. 3210-3214 [doi]
• Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic ResearchFrancesco Meggetto, Yashar Moshfeghi. 3215-3219 [doi]
• Exploratory Visualization Tool for the Continuous Evaluation of Information Retrieval SystemsGabriela González Sáez, Petra Galuscáková, Romain Deveaud, Lorraine Goeuriot, Philippe Mulhem. 3220-3224 [doi]
• Multi-lingual Semantic Search for Domain-specific Applications: Adobe Photoshop and Illustrator Help SearchJayant Kumar, Ashok Gupta, Zhaoyu Lu, Andrei Stefan, Tracy Holloway King. 3225-3229 [doi]
• Bootstrapping Query Suggestions in Spotify's Instant Search SystemAlva Liu, Humberto Jesús Corona Pampin, Enrico Palumbo. 3230-3234 [doi]
• COUPA: An Industrial Recommender System for Online to Offline Service PlatformsSicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou. 3235-3239 [doi]
• A Consumer Compensation System in Ride-hailing ServiceZhe Yu 0001, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang. 3240-3244 [doi]
• Interactive Recommendation System for Meituan WaimaiChen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang. 3245-3249 [doi]
• Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network SearchWenping Wang, Yunxi Guo, Chiyao Shen, Shuai Ding, Guangdeng Liao, Hao Fu, Pramodh Karanth Prabhakar. 3250-3254 [doi]
• Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level GenerationYuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye 0004. 3255-3259 [doi]
• Long-Form Information Retrieval for Enterprise MatchmakingPengyuan Li 0001, Guang-Jie Ren, Anna Lisa Gentile, Chad DeLuca, Daniel Tan, Sandeep Gopisetty. 3260-3264 [doi]
• Learning Query-aware Embedding Index for Improving E-commerce Dense RetrievalMingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu. 3265-3269 [doi]
• A Practical Online Allocation Framework at Industry-scale in Constrained RecommendationDaohong Jian, Yang Bao 0008, Jun Zhou 0011, Hua Wu. 3270-3274 [doi]
• TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-CommerceYouhua Tang, Xiong Xiong, Siyang Sun, Baoliang Cui, Yun Zheng, Haihong Tang. 3275-3279 [doi]
• MDI: A Debiasing Method Combining Unbiased and Biased DataHan Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng. 3280-3284 [doi]
• Context-Aware Classification of Legal Document PagesPavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang. 3285-3289 [doi]
• Facebook Content Search: Efficient and Effective Adapting Search on A Large ScaleXiangyu Niu, Yu-Wei Wu, Xiao Lu, Gautam Nagpal, Philip Pronin, Kecheng Hao, Zhen Liao, Guangdeng Liao. 3290-3294 [doi]
• Practice and Challenges in Building a Business-oriented Search Engine Quality MetricNuo Chen, Donghyun Park, Hyungae Park, Kijun Choi, Tetsuya Sakai, Jinyoung Kim. 3295-3299 [doi]
• Building a Graph-Based Patent Search EngineSebastian Björkqvist, Juho Kallio. 3300-3304 [doi]
• A Data-centric Solution to Improve Online Performance of Customer Service BotsSen Hu, Changlin Yang, Junjie Wang, Siye Liu, Teng Xu, Wangshu Zhang, Jing Zheng. 3305-3309 [doi]
• Enhancing Dynamic Image Advertising with Vision-Language Pre-trainingZhoufutu Wen, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wei Jia, Xiaodong Chen, Shuanglong Li, Lin Liu. 3310-3314 [doi]
• Graph Enhanced BERT for Query UnderstandingJuanhui Li, Wei Zeng, Suqi Cheng, Yao Ma 0001, Jiliang Tang, Shuaiqiang Wang, Dawei Yin. 3315-3319 [doi]
• KATIE: A System for Key Attributes Identification in Product Knowledge Graph ConstructionBtissam Er Rahmadi, Arturo Oncevay, Yuanyi Ji, Jeff Z. Pan. 3320-3324 [doi]
• A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior DataWenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli. 3325-3329 [doi]
• Embedding Based Retrieval in Friend RecommendationJiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu. 3330-3334 [doi]
• Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and OpportunitiesChristophe Van Gysel. 3335-3338 [doi]
• Personalized Stock Recommendation with Investors' Attention and Contextual InformationTakehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe. 3339-3343 [doi]
• Synerise Monad: A Foundation Model for Behavioral Event DataBarbara Rychalska, Szymon Lukasik, Jacek Dabrowski 0004. 3344-3348 [doi]
• Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object DetectionHsiu-Wei Yang, Abhinav Agrawal. 3349-3353 [doi]
• Exploring the Spatiotemporal Features of Online Food Recommendation ServiceShaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu. 3354-3358 [doi]
• Alleviating Matching Bias in Marketing RecommendationsJunpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu. 3359-3363 [doi]
• GreenSeq: Automatic Design of Green Networks for Sequential Recommendation SystemsYankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang. 3364-3368 [doi]
• DCBT: A Simple But Effective Way for Unified Warm and Cold RecommendationJieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo. 3369-3373 [doi]
• Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)Xinyi Zheng, Weijie Zhao 0001, Xiaoyun Li, Ping Li 0001. 3374-3379 [doi]
• Implicit Query Parsing at Amazon Product SearchChen Luo 0003, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin. 3380-3384 [doi]
• Delving into E-Commerce Product Retrieval with Vision-Language Pre-trainingXiaoYang Zheng, FuYu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng. 3385-3389 [doi]
• Improving Programming Q&A with Neural Generative AugmentationSuthee Chaidaroon, Xiao Zhang, Shruti Subramaniyam, Jeffrey Svajlenko, Tanya Shourya, Iman Keivanloo, Ria Joy. 3390-3394 [doi]
• Contextual Multilingual Spellchecker for User QueriesSanat Sharma, Josep Valls-Vargas, Tracy Holloway King, François Guerin, Chirag Arora. 3395-3399 [doi]
• Exploring 360-Degree View of Customers for Lookalike ModelingMd. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka. 3400-3404 [doi]
• Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce SearchZhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang 0047. 3405-3409 [doi]
• OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming IdentificationDengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie. 3410-3414 [doi]
• How Well do Offline Metrics Predict Online Performance of Product Ranking Models?Xiaojie Wang, Ruoyuan Gao, Anoop Jain, Graham Edge, Sachin Ahuja. 3415-3420 [doi]
• AttriBERT - Session-based Product Attribute Recommendation with BERTAkshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar. 3421-3425 [doi]
• Uncertainty Quantification for Text ClassificationDell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He 0001. 3426-3429 [doi]
• Neural Methods for Cross-Language Information RetrievalEugene Yang, Dawn J. Lawrie, James Mayfield, Suraj Nair, Douglas W. Oard. 3430-3431 [doi]
• Causal Recommendation: Progresses and Future DirectionsWenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu 0012, Fuli Feng, Xiangnan He 0001. 3432-3435 [doi]
• Neuro-Symbolic Representations for Information RetrievalLaura Dietz, Hannah Bast, Shubham Chatterjee, Jeffrey Dalton 0001, Jian-Yun Nie, Rodrigo Frassetto Nogueira. 3436-3439 [doi]
• Recent Advances in the Foundations and Applications of Unbiased Learning to RankShashank Gupta, Philipp Hager, Jin Huang 0010, Ali Vardasbi, Harrie Oosterhuis. 3440-3443 [doi]
• Complex Item Set RecommendationMozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke. 3444-3447 [doi]
• Explainable Information RetrievalAvishek Anand, Procheta Sen, Sourav Saha 0003, Manisha Verma, Mandar Mitra. 3448-3451 [doi]
• Proactive Conversational Agents in the Post-ChatGPT WorldLizi Liao, Grace Hui Yang, Chirag Shah. 3452-3455 [doi]
• ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information RetrievalSebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini. 3456-3459 [doi]
• [email protected] 2023: The First Workshop on Generative Information RetrievalGabriel Bénédict, Ruqing Zhang 0001, Donald Metzler. 3460-3463 [doi]
• Knowledge Discovery from Unstructured Data in Financial Services (KDF) WorkshopSameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta. 3464-3467 [doi]
• SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023)Michael Bendersky, Danqi Chen, Fernando Diaz 0001, Hamed Zamani. 3468-3471 [doi]
• FLIRT: Federated Learning for Information RetrievalFabio Pinelli, Gabriele Tolomei, Giovanni Trappolini. 3472-3475 [doi]
• eCom'23: The SIGIR 2023 Workshop on eCommerceSurya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue. 3476-3478 [doi]
• The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23)Marina Litvak, Irina Rabaev, Ricardo Campos 0001, Alípio Mário Jorge, Adam Jatowt. 3479-3482 [doi]
• 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023)Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci. 3483-3486 [doi]
• Quantifying and Advancing Information Retrieval System ExplainabilityCatherine Chen. 3487 [doi]
• Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented StrategyXuming Hu. 3488 [doi]
• Large-Scale Data Processing for Information Retrieval ApplicationsPooya Khandel. 3489 [doi]
• Defining and Measuring Cost, Effort, and Load in Information RetrievalMolly McGregor. 3490 [doi]
• Conversational Bibliographic SearchMarkus Nilles. 3491 [doi]
• Resilient Retrieval Models for Large CollectionDipannita Podder. 3492 [doi]
• Neural Architectures for Searching Subgraph StructuresRadin Hamidi Rad. 3493 [doi]
• Dense Passage Retrieval: Architectures and Augmentation MethodsThilina Rajapakse. 3494 [doi]
• Evaluating Task-oriented Dialogue Systems with UsersClemencia Siro. 3495 [doi]
• Exploring User and Item Representation, Justification Generation, and Data Augmentation for Conversational Recommender SystemsSergey Volokhin. 3496 [doi]
• Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation PerspectiveYang Zhang 0072. 3497 [doi]