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WSDM 2026

A

International Conference on Web Search and Data Mining

Official site ↗
217
accepted papers
205
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
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  2. 2
    A Comprehensive Guide to Time-Series Anomaly Detection
    John Paparrizos
    DBLP profile ↗ORCID 0000-0002-7592-748X ↗
  3. 3
    A Joint Auction Framework with Externalities and Adaptation
    Chun Fang
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  4. 4
    A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors
    Md Shoaib Ahmed
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  5. 5
    A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry
    Wonduk Seo
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  6. 6
    A Preliminary Agentic Framework for Matrix Deflation
    Paimon Goulart
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  7. 7
    A Real-Time System to Populate FRA Form 57 from News
    Chansong Lim
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  8. 8
    A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation
    Xiangming Li
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  9. 9
    A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs
    Pei-Xuan Li
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  10. 10
    Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
    Sullivan Castro
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  11. 11
    Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
    Qijiong Liu
    DBLP profile ↗ORCID 0000-0001-6087-383X ↗
  12. 12
    Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression
    Yung-Chien Wang
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  13. 13
    Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
    Rongwei Xu
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  14. 14
    Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders
    Chunyang Wang
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  15. 15
    Addressing Aggregation-Induced Information Loss in Graph Neural Networks
    Wenhao Zhu
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  16. 16
    Agentic Orchestration for Adaptive Educational Recommendations: A Multi-Agent LLM Framework for Personalized Learning Pathways
    Naina Chaturvedi
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  17. 17
    AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems
    Chen Wang
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  18. 18
    Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
    Hwanjun Song
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  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
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  20. 20
    APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce
    Shui Liu
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  21. 21
    ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability
    Woo-Seong Yun
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  22. 22
    Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives
    Jimmy Lin
    DBLP profile ↗ORCID 0000-0002-0661-7189 ↗
  23. 23
    Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM
    Yibo Zhou
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  24. 24
    Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
    Chaohua Yang
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  25. 25
    Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework
    Tao Wang
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  26. 26
    Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval
    Jiawei He
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  27. 27
    Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions
    Hongseon Yeom
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  28. 28
    Bridge Breaking for Graph Neural Networks
    Wei Li
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  29. 29
    Building Human-Aligned AI through Representation Augmentation and Structuring
    Hanjia Lyu
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  30. 30
    C2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
    Yue Yu
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  31. 31
    Calibration in Dynamic Recommender Systems
    Kun Lin
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  32. 32
    Can LLMs Uphold Research Integrity? Evaluating the Role of LLMs in Peer Review Quality
    Negar Arabzadeh
    DBLP profile ↗ORCID 0000-0002-4411-7089 ↗
  33. 33
    Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
    Mingyue Cheng
    DBLP profile ↗ORCID 0000-0001-9873-7681 ↗
  34. 34
    Capturing User Interests from Data Streams for Continual Sequential Recommendation
    Gyuseok Lee
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  35. 35
    CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
    Xiaoyu Liu
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  36. 36
    Causal Discovery for Biology: From Molecular to Disease Networks
    Lu Cheng
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  37. 37
    Causal Reasoning in the Era of Large Language Models
    Raha Moraffah
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  38. 38
    CausalBench+: Causal-Informed Machine Learning Benchmarking
    Ahmet Kapkiç
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  39. 39
    Causality with Knowledge Graphs: Semantics and Inference
    Hao Huang
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  40. 40
    CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image Captioning
    Hakjun Moon
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  41. 41
    ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
    Wei Cheng
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  42. 42
    CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning
    Xuanzhang Liu
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  43. 43
    Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational Thinking
    Shisong Chen
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  44. 44
    Cold-Start Active Correlation Clustering
    Linus Aronsson
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  45. 45
    Cold-Start Audiobook Recommendation via Cross-Domain Sub-Tower Fusion
    Kirandeep Kaur
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  46. 46
    Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify
    Shivam Verma
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  47. 47
    ColdNet: Neural Causal Inference Under Extreme Imbalance and Sparsity
    Mahmudur Rahman
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  48. 48
    Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models
    Shijie Luo
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  49. 49
    Confounder-Aware Causal Graph Learning Framework for Multivariate Time Series Analysis
    Bo Liu
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  50. 50
    Constructing Commonsense Knowledge Graph for Persona Consistency
    Lei Xia
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