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2026
2025
2024
WSDM
2025
A
International Conference on Web Search and Data Mining
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151
accepted papers
145
authors
March 10 - March 14, 2025
dates
Germany
location
151
/ 151 papers
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151
Main Track
150
Editorship
1
1
1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production
Giovanni Fulantelli
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2
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong
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3
A Shopping Agent for Addressing Subjective Product Needs
Preetam Prabhu Srikar Dammu
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4
A Sublinear Algorithm for Approximate Shortest Paths in Large Networks
Sabyasachi Basu
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5
A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task
Nicolas Steiner
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6
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
Yiyue Qian
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7
Adaptive Loss-based Curricula for Neural Team Recommendation
Reza Barzegar
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8
Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources
Lulu Wang
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9
Advances in Vector Search
Sebastian Bruch
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10
Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale
Dhruv Agarwal
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11
AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions
Fanqi Meng
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12
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
Junrui Liu
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13
An Edge-Based Decomposition Framework for Temporal Networks
Lutz Oettershagen
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14
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
Ubaid Azam
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15
Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions
Hongtao Liu
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16
Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs
Janice Anta Zebaze
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17
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
Yijun Tian
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18
Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory
Guilherme G. Bonaldo
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19
BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture
Ahmad Sakor
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20
Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation
Mahdis Saeedi
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21
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
Yilong Wang
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22
Building Trustworthy AI Models for Medicine: From Theory to Applications
Soumyadeep Roy
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23
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park
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24
Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration
Amine Ferdjaoui
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25
Combating Heterogeneous Model Biases in Recommendations via Boosting
Jinhao Pan
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26
Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature
Matthias Braunhofer
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27
Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation
David Rau
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28
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
Mingyue Cheng
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29
CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems
Nolwenn Bernard
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30
D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction
Haowei Xu
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31
DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation
Nijia Mo
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32
DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation
Shuai Zhang
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33
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
Yinhan He
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34
Density-aware and Cluster-based Federated Anomaly Detection on Data Streams
Bin Li
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35
DiffGraph: Heterogeneous Graph Diffusion Model
Zongwei Li
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36
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
Wuchao Li
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37
Disinformation and Misinformation in the Age of Generative AI
Koustav Rudra
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38
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
Jiaju Chen
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39
Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study
Mohammad Shirzadi
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40
Don't Forget This: Augmenting Results with Event-Aware Search
Hugo O. Sousa
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41
DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting
Chenchen Yang
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42
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Zhe Wang
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43
Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions
Zelin Li
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44
Edge Classification on Graphs: New Directions in Topological Imbalance
Xueqi Cheng
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45
Edge-Centric Network Analytics
Xueqi Cheng
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46
Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling
Daiki Katsuragawa
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47
Enhancing Code Search Intent with Programming Context Exploration
Yanmin Dong
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48
Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs
Disha Purohit
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49
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
Zhongnian Li
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50
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
Rishiraj Saha Roy
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