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ORCID18th WSDM 2025: Hannover, Germany
- Wolfgang Nejdl, Sören Auer, Meeyoung Cha, Marie-Francine Moens, Marc Najork:
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025. ACM 2025, ISBN 979-8-4007-1329-3
Plenary Session 1: Graph Neural Networks and Inferences
- Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen:
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. 1-9 - Jongwon Park, Heesoo Jung, Hogun Park:
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders. 10-19 - Sabyasachi Basu, Nadia Koshima, Talya Eden, Omri Ben-Eliezer, C. Seshadhri:
A Sublinear Algorithm for Approximate Shortest Paths in Large Networks. 20-29 - Giulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales:
Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity. 30-39 - Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang:
DiffGraph: Heterogeneous Graph Diffusion Model. 40-49
Poster Session 1
- Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation. 50-59 - Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. 60-69 - Rui Xia, Yanhua Cheng, Yongxiang Tang, Xiaocheng Liu, Xialong Liu, Lisong Wang, Peng Jiang:
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. 70-78 - Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria, Alessandro Straziota:
Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery. 79-87 - Abhishek Dalvi, Vasant G. Honavar:
Hyperdimensional Representation Learning for Node Classification and Link Prediction. 88-97 - Jiazhen Chen, Mingbin Feng, Tony S. Wirjanto:
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection. 98-106 - Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Large Language Model driven Policy Exploration for Recommender Systems. 107-116
Plenary Session 2: Recommendation Systems
- Hoang V. Dong, Yuan Fang, Hady W. Lauw:
A Contrastive Framework with User, Item and Review Alignment for Recommendation. 117-126 - Mingrui Liu, Sixiao Zhang, Cheng Long:
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation. 127-135 - Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang:
MixRec: Heterogeneous Graph Collaborative Filtering. 136-145 - Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim:
Review-Based Hyperbolic Cross-Domain Recommendation. 146-155 - Nhu-Thuat Tran, Hady W. Lauw:
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory. 156-164
Poster Session 2
- Jose M. Alvarez, Antonio Mastropietro, Salvatore Ruggieri:
The Initial Screening Order Problem. 165-174 - Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian:
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. 175-183 - Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee:
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts. 184-193 - Tianyi Chen, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information. 194-203 - Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng:
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. 204-212 - Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang:
Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. 213-221 - Jinhao Pan, James Caverlee, Ziwei Zhu:
Combating Heterogeneous Model Biases in Recommendations via Boosting. 222-231
Plenary Session 3: Large Language Models
- Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He:
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. 232-241 - Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang:
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. 242-250 - Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla:
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation. 251-260 - Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu:
Large Language Model Simulator for Cold-Start Recommendation. 261-270 - Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. 271-280
Poster Session 3
- Xingyu Zeng, Han Li, Qi Qi, Jingyu Wang, Haodong Deng, Haifeng Sun, Zirui Zhuang, Jianxin Liao:
Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation. 281-289 - Zelin Li, Cheng Zhang, Dawei Song:
Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions. 290-299 - Nijia Mo, Jianxiang Zang, Zhan Wang, Hui Liu:
DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation. 300-308 - Mohammad Shirzadi, Ahad N. Zehmakan:
Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study. 309-317 - Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang:
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning. 318-326 - Siqing Zhang, Yuchen Ding, Wei Tang, Wei Sun, Yong Liao, Peng Yuan Zhou:
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. 327-335 - Hongliu Cao:
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems. 336-344
Plenary Session 4: Sequential and Temporal Data Modeling
- Honglian Wang, Sijing Tu, Aristides Gionis:
Sequential Diversification with Provable Guarantees. 345-353 - Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee:
Temporal Linear Item-Item Model for Sequential Recommendation. 354-362 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. 363-372 - Zihan Qiu, Xiaoling Zhou, Chunyan An, Qiang Yang, Zhixu Li:
Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information. 373-381
Poster Session 4
- Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. 382-391 - Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. 392-400 - Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang:
Hawkes Point Process-enhanced Dynamic Graph Neural Network. 401-409 - Junliang Luo, Xue Liu:
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks. 410-418 - Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. 419-428 - Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu:
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. 429-438 - Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu:
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. 439-447
Plenary Session 5: Graph Learning and Adaptation
- Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang:
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. 448-456 - Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li:
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. 457-465 - Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz:
Inductive Graph Few-shot Class Incremental Learning. 466-474 - Ziming Li, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang:
RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan. 475-483 - Xiaocui Li, Guoliang Li, Xinyu Zhang, Yangtao Wang, Qingyu Shi, Wei Liang:
Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis. 484-492
Poster Session 5
- David Rau, Shuai Wang, Hervé Déjean, Stéphane Clinchant, Jaap Kamps:
Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation. 493-502 - Junrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang:
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. 503-511 - Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen:
Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. 512-520 - Shuai Zhang, Hua Chu, Jianan Li, Yangtao Zhou, Shirong Wang, Qiaofei Sun:
DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation. 521-529 - Zheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang:
Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. 530-538 - Rui Wang, Xing Liu, Yanan Wang, Shuyu Chang, Yuanzhi Yao, Haiping Huang:
Mining Topics towards ChatGPT Using a Disentangled Contextualized-neural Topic Model. 539-548 - Guoxuan Chen, Lianghao Xia, Chao Huang:
LightGNN: Simple Graph Neural Network for Recommendation. 549-558
Plenary Session 6: Fake News and Anomaly Detection
- Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. 559-567 - Haowei Xu, Chao Gao, Xianghua Li, Zhen Wang:
D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction. 568-576 - Lulu Wang, Chengqing Li:
Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources. 577-585 - Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel:
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. 586-595
Poster Session 6
- Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu:
Enhancing Code Search Intent with Programming Context Exploration. 596-605 - Fanqi Meng, Zhiyuan Zhang:
AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions. 606-615 - Anran Zhang, Xingfen Wang, Yuhan Zhao:
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection. 616-624 - Alessio Ragno, Roberto Capobianco:
IMPO: Interpretable Memory-based Prototypical Pooling. 625-632 - Myong Chol Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych:
Personalised Outfit Recommendation via History-aware Transformers. 633-641 - Chenchen Yang, Xi Xiao, Guangwu Hu, Zhen Ling, Hao Li, Bin Zhang:
DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting. 642-650 - Bin Li, Li Cheng, Zheng Qin, Yunlong Wu:
Density-aware and Cluster-based Federated Anomaly Detection on Data Streams. 651-658
Plenary Session 7: Bias in Recommendations
- Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. 659-668 - Yidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Zhumin Chen, Jun Ma, Xin Xin:
Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. 669-677 - Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang:
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. 678-687 - Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. 688-696
Poster Session 7
- Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Training MLPs on Graphs without Supervision. 697-706 - Xiaohan Yu, Li Zhang, Chong Chen:
Explainable CTR Prediction via LLM Reasoning. 707-716 - Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. 717-725 - Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. 726-734 - Lutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano:
An Edge-Based Decomposition Framework for Temporal Networks. 735-743 - Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu:
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. 744-753 - Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi:
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. 754-763
Plenary Session 8: Multimodal Data and Time Series Analysis
- Yuyan Chen, Qingpei Guo, Shuangjie You, Zhixu Li:
MedTransTab: Advancing Medical Cross-Table Tabular Data Generation. 764-772 - Rongqing Kenneth Ong, Andy W. H. Khong:
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation. 773-781 - Hongji Li, Hanwen Du, Youhua Li, Junchen Fu, Chunxiao Li, Ziyi Zhuang, Jiakang Li, Yongxin Ni:
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration. 782-791 - Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen:
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. 792-800
Poster Session 8
- Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu:
Improving FIM Code Completions via Context & Curriculum Based Learning. 801-810 - Jongjin Kim, U Kang:
Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users. 811-819 - Atefeh Moradan, Mohammad Sorkhpar, Atsushi Miyauchi, Davide Mottin, Ira Assent:
Untapping the Power of Indirect Relationships in Entity Summarization. 820-828 - Botao Wang, Jia Li, Heng Chang, Keli Zhang, Fugee Tsung:
Heterophilic Graph Neural Networks Optimization with Causal Message-passing. 829-837 - Yuan-Heng Lee, Josh Jia-Ching Ying, Vincent S. Tseng:
HaGAR: Hardness-aware Generative Adversarial Recommender. 838-846 - Xu Yang, Guangyuan Yu, Jun He:
UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction. 847-856 - Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang:
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. 857-865 - Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley:
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. 866-875
Plenary Session 9: Emerging Topics in Data Mining
- Xuanzhou Liu, Zhibo Xiao, Luwei Yang, Hansheng Xue, Jianxing Ma, Yujiu Yang:
Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences. 876-884 - Maryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee:
Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records. 885-894 - SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. 895-904 - Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li:
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. 905-913
Poster Session 9
- Reza Barzegar, Marco Nikola Kurepa, Hossein Fani:
Adaptive Loss-based Curricula for Neural Team Recommendation. 914-923 - Maryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah, Afra Mashhadi:
How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries. 924-933 - Zhen Li, Xinchi Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Can Xu, Hao Wang, Dongyan Zhao, Shuai Ma:
RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match. 934-943 - Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang:
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. 944-953 - Mandeep Rathee, Sean MacAvaney, Avishek Anand:
Quam: Adaptive Retrieval through Query Affinity Modelling. 954-962 - Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun:
ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control. 963-972 - Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan:
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. 973-981 - Jiayun Li, Wen Hua, Fengmei Jin, Xue Li:
HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment. 982-990
Tutorials
- Negar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri:
Query Performance Prediction: Theory, Techniques and Applications. 991-994 - Sebastian Bruch:
Advances in Vector Search. 995-997 - Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. 998-1001 - Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano:
Tutorial on Recommendation with Generative Models (Gen-RecSys). 1002-1004 - Zheng Huang, Hao Hao, Lun Du:
Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices. 1005-1007 - Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. 1008-1011 - Soumyadeep Roy, Sowmya S. Sundaram, Dominik Wolff, Niloy Ganguly:
Building Trustworthy AI Models for Medicine: From Theory to Applications. 1012-1015 - Mahdis Saeedi, Christine Wong, Hossein Fani:
Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation. 1016-1019 - Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao:
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. 1020-1023
Demonstrations
- Nicolas Almerge, Matteo Santelmo, Ilker Gül, Amin Asadi Sarijalou, Rémi Lebret, Léo Laugier, Karl Aberer:
SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges. 1024-1027 - Nolwenn Bernard, Hideaki Joko, Faegheh Hasibi, Krisztian Balog:
CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems. 1028-1031 - Preetam Prabhu Srikar Dammu, Omar Alonso, Barbara Poblete:
A Shopping Agent for Addressing Subjective Product Needs. 1032-1035 - Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif:
Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration. 1036-1039 - Rishiraj Saha Roy, Joel Schlotthauer, Chris Hinze, Andreas Foltyn, Luzian Hahn, Fabian Küch:
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems. 1040-1043 - Ahmad Sakor, Mauricio Brunet, Enrique Iglesias, Ariam Rivas, Philipp D. Rohde, Angelina Kraft, Maria-Esther Vidal:
Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management. 1044-1047 - Ferdinand Schlatt, Maik Fröbe, Matthias Hagen:
Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval. 1048-1051 - Anna Sokol, Matthew L. Sisk, Josefina Echavarría Alvarez, Nitesh V. Chawla:
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives. 1052-1055 - Hugo Sousa, Austin R. Ward, Omar Alonso:
Don't Forget This: Augmenting Results with Event-Aware Search. 1056-1059 - Venktesh V, Vinay Setty:
LiveFC: A System for Live Fact-Checking of Audio Streams. 1060-1063 - Xiangqi Wang, Tianyu Yang, Jason Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang:
WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights. 1064-1067
Doctoral Consortium
- Maryam Amirizaniani:
Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans. 1068-1070 - Xueqi Cheng:
Edge-Centric Network Analytics. 1071-1073 - Preetam Prabhu Srikar Dammu:
Towards Ethical and Personalized Web Navigation Agents: A Framework for User-Aligned Task Execution. 1074-1076 - Oleg Somov:
The Generalization and Error Detection in LLM-based Text-to-SQL Systems. 1077-1079 - Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe:
Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs. 1080-1083
Industry Day Talks
- Dhruv Agarwal, Nupur Neti, Federica Cerina:
Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale. 1084-1085 - Guilherme G. Bonaldo, Pedro F. Nogueira, Tetiana Torovets, Thays F. da Silva:
Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory. 1086-1087 - Matthias Braunhofer, Grzegorz Kukla, Abhishek Arun:
Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature. 1088-1089 - Daiki Katsuragawa, Yusuke Kaneko, Kaito Ariu, Kenshi Abe:
Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling. 1090-1091 - Enming Luo, Wei Qiao, Katie Warren, Jingxiang Li, Eric Xiao, Krishna Viswanathan, Yuan Wang, Yintao Liu, Jimin Li, Ariel Fuxman:
Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings. 1092-1093 - Darshan Nagaraja:
Navigating the Hype and Embracing the Hope: The Future of Generative AI in Retail Product Discovery. 1094-1095 - Qilin Qi:
Personalization At Doordash: From Conversion Modeling To Multi-objective Long-term Value Optimization. 1096-1097 - Eti Rastogi, Sagar Goyal, Fen Zhao, Dong Yuan:
SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs. 1098-1099 - Vinay Setty:
Fact-checking Multilingual Podcasts. 1100-1101
WSDM Day Talks
- Leonie Basso, Zahra Ahmadi, Steffen Oeltze-Jafra, Eike Petersen, Hoen-oh Shin, Andrea Schenk:
Using Photon-Counting CT Images for Lung Nodule Classification. 1102-1103 - Hao Huang, Maria-Esther Vidal:
HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge. 1104-1105 - Pallavi Karanth:
Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and Recommendations. 1106-1107 - Disha Purohit, Yashrajsinh Chudasama, Maria-Esther Vidal:
Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs. 1108-1109 - Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal:
BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture. 1110-1111 - Nicolas Steiner, Ziteng Li, Omid Vosoughi, Johanna Schrader, Soumyadeep Roy, Wolfgang Nejdl, Ming Tang:
A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task. 1112-1113
Workshops
- Giovanni Fulantelli, Davide Taibi, Sergio Splendore, Marco Fisichella:
1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production. 1114-1115 - Anett Hoppe, Ran Yu, Jiqun Liu, Nilavra Bhattacharya:
IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search. 1116-1117 - Xinghai Hu, Robin Burke, Xu Liu:
Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025. 1118-1119 - Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. 1120-1121 - Koustav Rudra, Niloy Ganguly, Jeanne Mifsud Bonnici, Eric Müller-Budack, Ritumbra Manuvie:
Disinformation and Misinformation in the Age of Generative AI. 1122-1123
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