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WSDM 2026

A

International Conference on Web Search and Data Mining

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217
accepted papers
940
authors
February 22 - 26, 2026
dates
USA
location

217 / 217 papers

  1. 1
    A Causal Inference Framework for Actionable Fault Diagnosis and Mitigation
    Shuhan Yuan
    ,
    Lu Zhang
  2. 2
    A Comprehensive Guide to Time-Series Anomaly Detection
    John Paparrizos
    ,
    Paul Boniol
    ,
    Qinghua Liu
    ,
    Themis Palpanas
  3. 3
    A Joint Auction Framework with Externalities and Adaptation
    Chun Fang
    ,
    Luowen Liu
    ,
    Kun Huang
    ,
    Tao Ruan
    ,
    Sheng Yan
    ,
    Zhen Wang
    ,
    Huan Li
    ,
    Qiang Liu
    ,
    Xingxing Wang
  4. 4
    A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors
    Md Shoaib Ahmed
    ,
    Francesca Spezzano
  5. 5
    A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry
    Wonduk Seo
    ,
    Hyunjin An
    ,
    Seunghyun Lee
  6. 6
    A Preliminary Agentic Framework for Matrix Deflation
    Paimon Goulart
    ,
    Evangelos E. Papalexakis
  7. 7
    A Real-Time System to Populate FRA Form 57 from News
    Chansong Lim
    ,
    Haz Sameen Shahgir
    ,
    Yue Dong
    ,
    Jia Chen
    ,
    Evangelos E. Papalexakis
  8. 8
    A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation
    Xiangming Li
    ,
    Hua Chu
    ,
    Chengyu Feng
    ,
    Jianan Li
    ,
    Yangtao Zhou
    ,
    Qingshan Li
    ,
    Wanqiang Yang
  9. 9
    A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs
    Pei-Xuan Li
    ,
    Cheng-Ru Chou
    ,
    Jhe-Wei Tsai
    ,
    Hsun-Ping Hsieh
  10. 10
    Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
    Sullivan Castro
    ,
    Artem Betlei
    ,
    Thomas Di Martino
    ,
    Nadir El Manouzi
  11. 11
    Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
    Qijiong Liu
    ,
    Lu Fan
    ,
    Zhongzhou Liu
    ,
    Xiaoyu Dong
    ,
    Yuankai Luo
    ,
    Guoyuan An
    ,
    Nuo Chen
    ,
    Wei Guo
    ,
    Yong Liu
    ,
    Xiao-Ming Wu
  12. 12
    Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression
    Yung-Chien Wang
    ,
    Kuang-Da Wang
    ,
    Wei-Yao Wang
    ,
    Wen-Chih Peng
  13. 13
    Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
    Rongwei Xu
    ,
    Zitai Qiu
    ,
    Pengfei Ding
    ,
    Yan Wang
    ,
    Jia Wu
    ,
    Amin Beheshti
    ,
    Guanfeng Liu
  14. 14
    Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders
    Chunyang Wang
    ,
    Xuhao Zhao
    ,
    Wenze Ma
    ,
    Zhaobo Wang
    ,
    Yanmin Zhu
    ,
    Haobing Liu
  15. 15
    Addressing Aggregation-Induced Information Loss in Graph Neural Networks
    Wenhao Zhu
    ,
    Haonan Dong
    ,
    Guojie Song
    ,
    Zhengzhou Zhu
  16. 16
    Agentic Orchestration for Adaptive Educational Recommendations: A Multi-Agent LLM Framework for Personalized Learning Pathways
    Naina Chaturvedi
    ,
    Ananda Gunawardena
  17. 17
    AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems
    Chen Wang
    ,
    Mingdai Yang
    ,
    Zhiwei Liu
    ,
    Pan Li
    ,
    Linsey Pang
    ,
    Qingsong Wen
    ,
    Philip S. Yu
  18. 18
    Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
    Hwanjun Song
    ,
    Jeonghwan Choi
    ,
    Minseok Kim
  19. 19
    An Application for Development and Interactive Visual Engagement with the SHARECITY 200 Food Sharing Initiative (FSI) database in the CULTIVATE project
    Anastasiia Potyagalova
    ,
    Hyunji Cho
    ,
    Ivan Bacher
    ,
    Hao Wu
    ,
    Patricia Buffini
    ,
    Anna R. Davies
    ,
    Gareth J. F. Jones
  20. 20
    APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce
    Shui Liu
    ,
    Mingyuan Tao
    ,
    Maofei Que
    ,
    Pan Li
    ,
    Zhuoran Zhuang
  21. 21
    ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability
    Woo-Seong Yun
    ,
    Min-Seong Kim
    ,
    Yoon-Sik Cho
  22. 22
    Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives
    Jimmy Lin
    ,
    Ronak Pradeep
    ,
    Gilad Mishne
    ,
    Pankaj Gupta
  23. 23
    Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM
    Yibo Zhou
    ,
    Xiaolong Xu
    ,
    Haolong Xiang
    ,
    Xuyun Zhang
    ,
    Siyu Wu
  24. 24
    Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
    Chaohua Yang
    ,
    Dugang Liu
    ,
    Shiwei Li
    ,
    Yuwen Fu
    ,
    Xing Tang
    ,
    Weihong Luo
    ,
    Xiangyu Zhao
    ,
    Xiuqiang He
    ,
    Zhong Ming
  25. 25
    Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework
    Tao Wang
    ,
    Xun Luo
    ,
    Jinlong Guo
    ,
    Yuliang Yan
  26. 26
    Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval
    Jiawei He
    ,
    Zhanpeng Guan
    ,
    Fuwei Zhang
    ,
    Zhao Zhang
    ,
    Yongjun Xu
  27. 27
    Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions
    Hongseon Yeom
    ,
    Jaeyoul Shin
    ,
    Soojin Min
    ,
    Jeongmin Yoon
    ,
    Seunghak Yu
    ,
    Dongyeop Kang
  28. 28
    Bridge Breaking for Graph Neural Networks
    Wei Li
    ,
    Jiaxing Xu
    ,
    Xia Dong
    ,
    Yiping Ke
  29. 29
    Building Human-Aligned AI through Representation Augmentation and Structuring
    Hanjia Lyu
  30. 30
    C2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
    Yue Yu
    ,
    Ting Bai
    ,
    Hengzhi Lan
    ,
    Li Qian
    ,
    Li Peng
    ,
    Jie Wu
    ,
    Wei Liu
    ,
    Jian Luan
    ,
    Chuan Shi
  31. 31
    Calibration in Dynamic Recommender Systems
    Kun Lin
  32. 32
    Can LLMs Uphold Research Integrity? Evaluating the Role of LLMs in Peer Review Quality
    Negar Arabzadeh
    ,
    Sajad Ebrahimi
    ,
    Soroush Sadeghian
    ,
    Seyed Mohammad Hosseini
    ,
    Alireza Daqiq
    ,
    Hai Son Le
    ,
    Mahdi Bashari
    ,
    Ebrahim Bagheri
  33. 33
    Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
    Mingyue Cheng
    ,
    Jiahao Wang
    ,
    Daoyu Wang
    ,
    Xiaoyu Tao
    ,
    Qi Liu
    ,
    Enhong Chen
  34. 34
    Capturing User Interests from Data Streams for Continual Sequential Recommendation
    Gyuseok Lee
    ,
    Hyunsik Yoo
    ,
    Junyoung Hwang
    ,
    SeongKu Kang
    ,
    Hwanjo Yu
  35. 35
    CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
    Xiaoyu Liu
    ,
    Fuwei Zhang
    ,
    Yiqing Wu
    ,
    Xinyu Jia
    ,
    Zenghua Xia
    ,
    Fuzhen Zhuang
    ,
    Zhao Zhang
    ,
    Fei Jiang
    ,
    Wei Lin
  36. 36
    Causal Discovery for Biology: From Molecular to Disease Networks
    Lu Cheng
  37. 37
    Causal Reasoning in the Era of Large Language Models
    Raha Moraffah
  38. 38
    CausalBench+: Causal-Informed Machine Learning Benchmarking
    Ahmet Kapkiç
    ,
    Pratanu Mandal
    ,
    Abhinav Gorantla
    ,
    Shu Wan
    ,
    Ertugrul Çoban
    ,
    Huan Liu
    ,
    K. Selcuk Candan
  39. 39
    Causality with Knowledge Graphs: Semantics and Inference
    Hao Huang
  40. 40
    CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image Captioning
    Hakjun Moon
    ,
    Simon S. Woo
  41. 41
    ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
    Wei Cheng
    ,
    Yucheng Lu
    ,
    Boyang Xia
    ,
    Jiangxia Cao
    ,
    Kuan Xu
    ,
    Mingxing Wen
    ,
    Wei Jiang
    ,
    Jiaming Zhang
    ,
    Zhaojie Liu
    ,
    Liyin Hong
    ,
    Kun Gai
    ,
    Guorui Zhou
  42. 42
    CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning
    Xuanzhang Liu
    ,
    Jianglun Feng
    ,
    Zhuoran Zhuang
    ,
    Junzhe Zhao
    ,
    Maofei Que
    ,
    Jieting Li
    ,
    Dianlei Wang
    ,
    Hao Tong
    ,
    Ye Chen
    ,
    Pan Li
  43. 43
    Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational Thinking
    Shisong Chen
    ,
    Ziyu Zhou
    ,
    Yicong Zhao
    ,
    Chengyi Yang
    ,
    Zhixu Li
    ,
    Yanghua Xiao
    ,
    Xin Lin
    ,
    Xiaojun Meng
    ,
    Jiansheng Wei
    ,
    Kuien Liu
  44. 44
    Cold-Start Active Correlation Clustering
    Linus Aronsson
    ,
    Han Wu
    ,
    Morteza Haghir Chehreghani
  45. 45
    Cold-Start Audiobook Recommendation via Cross-Domain Sub-Tower Fusion
    Kirandeep Kaur
    ,
    Amit Goyal
  46. 46
    Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify
    Shivam Verma
    ,
    Hannes Karlbom
    ,
    Yu Zhao
    ,
    Nick Topping
    ,
    Vivian Chen
    ,
    Kieran Stanley
    ,
    Bharath Rengarajan
  47. 47
    ColdNet: Neural Causal Inference Under Extreme Imbalance and Sparsity
    Mahmudur Rahman
    ,
    Sanskar Tewatia
    ,
    Dhruv Garg
  48. 48
    Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models
    Shijie Luo
    ,
    Xinyuan Lu
    ,
    Qinpei Zhao
    ,
    Weixiong Rao
  49. 49
    Confounder-Aware Causal Graph Learning Framework for Multivariate Time Series Analysis
    Bo Liu
    ,
    Yuefeng Ma
  50. 50
    Constructing Commonsense Knowledge Graph for Persona Consistency
    Lei Xia
    ,
    Yuyan Chen
    ,
    Xiangqin Chen
    ,
    Jixiang Fan
    ,
    Weinan Dai
    ,
    Xiaomei Li
    ,
    Zhixu Li