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WSDM 2025

A

International Conference on Web Search and Data Mining

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151
accepted papers
655
authors
March 10 - March 14, 2025
dates
Germany
location

151 / 151 papers

  1. 1
    1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production
    Giovanni Fulantelli
    ,
    Davide Taibi
    ,
    Sergio Splendore
    ,
    Marco Fisichella
  2. 2
    A Contrastive Framework with User, Item and Review Alignment for Recommendation
    Hoang V. Dong
    ,
    Yuan Fang
    ,
    Hady W. Lauw
  3. 3
    A Shopping Agent for Addressing Subjective Product Needs
    Preetam Prabhu Srikar Dammu
    ,
    Omar Alonso
    ,
    Barbara Poblete
  4. 4
    A Sublinear Algorithm for Approximate Shortest Paths in Large Networks
    Sabyasachi Basu
    ,
    Nadia Koshima
    ,
    Talya Eden
    ,
    Omri Ben-Eliezer
    ,
    C. Seshadhri
  5. 5
    A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task
    Nicolas Steiner
    ,
    Ziteng Li
    ,
    Omid Vosoughi
    ,
    Johanna Schrader
    ,
    Soumyadeep Roy
    ,
    Wolfgang Nejdl
    ,
    Ming Tang
  6. 6
    Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
    Yiyue Qian
    ,
    Tianyi Ma
    ,
    Chuxu Zhang
    ,
    Yanfang Ye
  7. 7
    Adaptive Loss-based Curricula for Neural Team Recommendation
    Reza Barzegar
    ,
    Marco Nikola Kurepa
    ,
    Hossein Fani
  8. 8
    Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources
    Lulu Wang
    ,
    Chengqing Li
  9. 9
    Advances in Vector Search
    Sebastian Bruch
  10. 10
    Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale
    Dhruv Agarwal
    ,
    Nupur Neti
    ,
    Federica Cerina
  11. 11
    AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions
    Fanqi Meng
    ,
    Zhiyuan Zhang
  12. 12
    An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
    Junrui Liu
    ,
    Tong Li
    ,
    Di Wu
    ,
    Zifang Tang
    ,
    Yuan Fang
    ,
    Zhen Yang
  13. 13
    An Edge-Based Decomposition Framework for Temporal Networks
    Lutz Oettershagen
    ,
    Athanasios L. Konstantinidis
    ,
    Giuseppe F. Italiano
  14. 14
    BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
    Ubaid Azam
    ,
    Imran Razzak
    ,
    Shelly Vishwakarma
    ,
    Hakim Hacid
    ,
    Dell Zhang
    ,
    Shoaib Jameel
  15. 15
    Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions
    Hongtao Liu
    ,
    Luxi Chen
    ,
    Yiming Ding
    ,
    Changcheng Li
    ,
    Han Li
    ,
    Peng Jiang
    ,
    Weiran Shen
  16. 16
    Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs
    Janice Anta Zebaze
    ,
    Azanzi Jiomekong
    ,
    Innocent Souopgui
    ,
    Germaine Djuidje Kenmoe
  17. 17
    Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
    Yijun Tian
    ,
    Yikun Han
    ,
    Xiusi Chen
    ,
    Wei Wang
    ,
    Nitesh V. Chawla
  18. 18
    Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory
    Guilherme G. Bonaldo
    ,
    Pedro F. Nogueira
    ,
    Tetiana Torovets
    ,
    Thays F. da Silva
  19. 19
    BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture
    Ahmad Sakor
    ,
    Kuldeep Singh
    ,
    Maria-Esther Vidal
  20. 20
    Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation
    Mahdis Saeedi
    ,
    Christine Wong
    ,
    Hossein Fani
  21. 21
    Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
    Yilong Wang
    ,
    Tianxiang Zhao
    ,
    Zongyu Wu
    ,
    Suhang Wang
  22. 22
    Building Trustworthy AI Models for Medicine: From Theory to Applications
    Soumyadeep Roy
    ,
    Sowmya S. Sundaram
    ,
    Dominik Wolff
    ,
    Niloy Ganguly
  23. 23
    CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
    Jongwon Park
    ,
    Heesoo Jung
    ,
    Hogun Park
  24. 24
    Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration
    Amine Ferdjaoui
    ,
    Séverine Affeldt
    ,
    Mohamed Nadif
  25. 25
    Combating Heterogeneous Model Biases in Recommendations via Boosting
    Jinhao Pan
    ,
    James Caverlee
    ,
    Ziwei Zhu
  26. 26
    Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature
    Matthias Braunhofer
    ,
    Grzegorz Kukla
    ,
    Abhishek Arun
  27. 27
    Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation
    David Rau
    ,
    Shuai Wang
    ,
    Hervé Déjean
    ,
    Stéphane Clinchant
    ,
    Jaap Kamps
  28. 28
    Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
    Mingyue Cheng
    ,
    Xiaoyu Tao
    ,
    Qi Liu
    ,
    Hao Zhang
    ,
    Yiheng Chen
    ,
    Defu Lian
  29. 29
    CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems
    Nolwenn Bernard
    ,
    Hideaki Joko
    ,
    Faegheh Hasibi
    ,
    Krisztian Balog
  30. 30
    D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction
    Haowei Xu
    ,
    Chao Gao
    ,
    Xianghua Li
    ,
    Zhen Wang
  31. 31
    DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation
    Nijia Mo
    ,
    Jianxiang Zang
    ,
    Zhan Wang
    ,
    Hui Liu
  32. 32
    DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation
    Shuai Zhang
    ,
    Hua Chu
    ,
    Jianan Li
    ,
    Yangtao Zhou
    ,
    Shirong Wang
    ,
    Qiaofei Sun
  33. 33
    Demystify Epidemic Containment in Directed Networks: Theory and Algorithms
    Yinhan He
    ,
    Chen Chen
    ,
    Song Wang
    ,
    Guanghui Min
    ,
    Jundong Li
  34. 34
    Density-aware and Cluster-based Federated Anomaly Detection on Data Streams
    Bin Li
    ,
    Li Cheng
    ,
    Zheng Qin
    ,
    Yunlong Wu
  35. 35
    DiffGraph: Heterogeneous Graph Diffusion Model
    Zongwei Li
    ,
    Lianghao Xia
    ,
    Hua Hua
    ,
    Shijie Zhang
    ,
    Shuangyang Wang
    ,
    Chao Huang
  36. 36
    DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
    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
  37. 37
    Disinformation and Misinformation in the Age of Generative AI
    Koustav Rudra
    ,
    Niloy Ganguly
    ,
    Jeanne Pia Mifsud Bonnici
    ,
    Eric Müller-Budack
    ,
    Ritumbra Manuvie
  38. 38
    DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
    Jiaju Chen
    ,
    Chongming Gao
    ,
    Shuai Yuan
    ,
    Shuchang Liu
    ,
    Qingpeng Cai
    ,
    Peng Jiang
  39. 39
    Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study
    Mohammad Shirzadi
    ,
    Ahad N. Zehmakan
  40. 40
    Don't Forget This: Augmenting Results with Event-Aware Search
    Hugo O. Sousa
    ,
    Austin R. Ward
    ,
    Omar Alonso
  41. 41
    DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting
    Chenchen Yang
    ,
    Xi Xiao
    ,
    Guangwu Hu
    ,
    Zhen Ling
    ,
    Hao Li
    ,
    Bin Zhang
  42. 42
    Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
    Zhe Wang
    ,
    Sheng Zhou
    ,
    Jiawei Chen
    ,
    Zhen Zhang
    ,
    Binbin Hu
    ,
    Yan Feng
    ,
    Chun Chen
    ,
    Can Wang
  43. 43
    Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions
    Zelin Li
    ,
    Cheng Zhang
    ,
    Dawei Song
  44. 44
    Edge Classification on Graphs: New Directions in Topological Imbalance
    Xueqi Cheng
    ,
    Yu Wang
    ,
    Yunchao Liu
    ,
    Yuying Zhao
    ,
    Charu C. Aggarwal
    ,
    Tyler Derr
  45. 45
    Edge-Centric Network Analytics
    Xueqi Cheng
  46. 46
    Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling
    Daiki Katsuragawa
    ,
    Yusuke Kaneko
    ,
    Kaito Ariu
    ,
    Kenshi Abe
  47. 47
    Enhancing Code Search Intent with Programming Context Exploration
    Yanmin Dong
    ,
    Zhenya Huang
    ,
    Zheng Zhang
    ,
    Guanhao Zhao
    ,
    Likang Wu
    ,
    Hongke Zhao
    ,
    Binbin Jin
    ,
    Qi Liu
  48. 48
    Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs
    Disha Purohit
    ,
    Yashrajsinh Chudasama
    ,
    Maria-Esther Vidal
  49. 49
    ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
    Zhongnian Li
    ,
    Meng Wei
    ,
    Peng Ying
    ,
    Xinzheng Xu
  50. 50
    Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
    Rishiraj Saha Roy
    ,
    Joel Schlotthauer
    ,
    Chris Hinze
    ,
    Andreas Foltyn
    ,
    Luzian Hahn
    ,
    Fabian Küch