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2026
2025
2024
WSDM
2024
A
International Conference on Web Search and Data Mining
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176
accepted papers
172
authors
March 4 - March 8, 2024
dates
México
location
176
/ 176 papers
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176
Main Track
175
Editorship
1
1
"Maya"- A Conversational Shopping Assistant for Fashion at Myntra
Akhil Raj
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2
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media
Usman Naseem
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3
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
Xiaojie Sun
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4
A Scalable Open-Source System for Segmenting Urban Areas with Road Networks
Ming Zhang
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5
AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling
Jiawei Zhang
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6
Accelerating Pharmacovigilance using Large Language Models
Mukkamala Venkata Sai Prakash
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7
Ad-load Balancing via Off-policy Learning in a Content Marketplace
Hitesh Sagtani
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8
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis
Xuexiong Luo
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9
Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case Study
Sudeep Das
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10
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
Yaokun Liu
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11
Augmenting Keyword-based Search in Mobile Applications Using LLMs
Harikrishnan C
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12
Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks
Shreya Saxena
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13
Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020
Hermelando Cruz-Pérez
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14
Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques
Jonathan Zárate-Cartas
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15
AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations
He Wei
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16
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery
Bowen Jin
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17
Budgeted Embedding Table For Recommender Systems
Yunke Qu
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18
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction
Xiaoqiang Gui
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19
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning
Lingwen Liu
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20
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
Paras Sheth
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21
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong
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22
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Xiaodong Li
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23
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
Revanth Gangi Reddy
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24
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
Chengxin Wang
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25
CL4DIV: A Contrastive Learning Framework for Search Result Diversification
Zhirui Deng
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26
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation
Tianyu Zhu
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27
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation
Zhichao Feng
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28
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
Hyowon Wi
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29
Cost-Effective Active Learning for Bid Exploration in Online Advertising
Zixiao Wang
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30
COTER: Conditional Optimal Transport meets Table Retrieval
Xun Yao
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31
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
Zhengyang Zhou
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32
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
Shohreh Deldari
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33
Customer Understanding for Recommender Systems
Md. Mostafizur Rahman
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34
Customized and Robust Deep Neural Network Watermarking
Tzu-Yun Chien
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35
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
Menglin Kong
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36
Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding
Zhihong Zhu
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37
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
Jiyuan Yang
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38
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao
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39
Defense Against Model Extraction Attacks on Recommender Systems
Sixiao Zhang
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40
Delphic Costs and Benefits in Web Search: A Utilitarian and Historical Analysis
Andrei Z. Broder
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41
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
Tianyu Fu
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42
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
Yuhao Wang
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43
DiffKG: Knowledge Graph Diffusion Model for Recommendation
Yangqin Jiang
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44
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang
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45
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
Ya-Lin Zhang
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46
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang
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47
Effective and Efficient Transformer Models for Sequential Recommendation
Aleksandr V. Petrov
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48
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
Binghui Wang
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49
Empathetic Response Generation with Relation-aware Commonsense Knowledge
Changyu Chen
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50
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence
Ambreen Hanif
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