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WSDM 2024

A

International Conference on Web Search and Data Mining

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176
accepted papers
806
authors
March 4 - March 8, 2024
dates
México
location

176 / 176 papers

  1. 1
    "Maya"- A Conversational Shopping Assistant for Fashion at Myntra
    Akhil Raj
    ,
    Hrishikesh Ganu
    ,
    Saikat Kumar Das
    ,
    R. Sandeep
    ,
    Satyajeet Singh
    ,
    Sreekanth Vempati
  2. 2
    A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media
    Usman Naseem
    ,
    Jinman Kim
    ,
    Matloob Khushi
    ,
    Adam G. Dunn
  3. 3
    A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
    Xiaojie Sun
    ,
    Keping Bi
    ,
    Jiafeng Guo
    ,
    Sihui Yang
    ,
    Qishen Zhang
    ,
    Zhongyi Liu
    ,
    Guannan Zhang
    ,
    Xueqi Cheng
  4. 4
    A Scalable Open-Source System for Segmenting Urban Areas with Road Networks
    Ming Zhang
    ,
    Yanyan Li
    ,
    Jianguo Duan
    ,
    Jizhou Huang
    ,
    Jingbo Zhou
  5. 5
    AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling
    Jiawei Zhang
    ,
    Shimin Yang
    ,
    Liang Shen
  6. 6
    Accelerating Pharmacovigilance using Large Language Models
    Mukkamala Venkata Sai Prakash
    ,
    Ganesh Parab
    ,
    Meghana Veeramalla
    ,
    Siddartha Reddy
    ,
    Varun V
    ,
    Saisubramaniam Gopalakrishnan
    ,
    Vishal Pagidipally
    ,
    Vishal Vaddina
  7. 7
    Ad-load Balancing via Off-policy Learning in a Content Marketplace
    Hitesh Sagtani
    ,
    Madan Gopal Jhawar
    ,
    Rishabh Mehrotra
    ,
    Olivier Jeunen
  8. 8
    An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis
    Xuexiong Luo
    ,
    Guangwei Dong
    ,
    Jia Wu
    ,
    Amin Beheshti
    ,
    Jian Yang
    ,
    Shan Xue
  9. 9
    Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case Study
    Sudeep Das
    ,
    Raghav Saboo
    ,
    Chaitanya S. K. Vadrevu
    ,
    Bruce Wang
    ,
    Steven Xu
  10. 10
    Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
    Yaokun Liu
    ,
    Xiaowang Zhang
    ,
    Minghui Zou
    ,
    Zhiyong Feng
  11. 11
    Augmenting Keyword-based Search in Mobile Applications Using LLMs
    Harikrishnan C
    ,
    Giridhar Sreenivasa Murthy
    ,
    Kumar Rangarajan
  12. 12
    Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks
    Shreya Saxena
    ,
    Siva Prasad
    ,
    Muneeswaran I
    ,
    Advaith Shankar
    ,
    Varun V
    ,
    Saisubramaniam Gopalakrishnan
    ,
    Vishal Vaddina
  13. 13
    Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020
    Hermelando Cruz-Pérez
    ,
    Alejandro Molina-Villegas
  14. 14
    Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques
    Jonathan Zárate-Cartas
    ,
    Alejandro Molina-Villegas
  15. 15
    AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations
    He Wei
    ,
    Yuekui Yang
    ,
    Shaoping Ma
    ,
    Haiyang Wu
    ,
    Yangyang Tang
    ,
    Meixi Liu
    ,
    Yang Zhang
  16. 16
    Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery
    Bowen Jin
    ,
    Yu Zhang
    ,
    Sha Li
    ,
    Jiawei Han
  17. 17
    Budgeted Embedding Table For Recommender Systems
    Yunke Qu
    ,
    Tong Chen
    ,
    Quoc Viet Hung Nguyen
    ,
    Hongzhi Yin
  18. 18
    Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction
    Xiaoqiang Gui
    ,
    Yueyao Cheng
    ,
    Xiang-Rong Sheng
    ,
    Yunfeng Zhao
    ,
    Guoxian Yu
    ,
    Shuguang Han
    ,
    Yuning Jiang
    ,
    Jian Xu
    ,
    Bo Zheng
  19. 19
    Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning
    Lingwen Liu
    ,
    Guangqi Wen
    ,
    Peng Cao
    ,
    Jinzhu Yang
    ,
    Weiping Li
    ,
    Osmar R. Zaïane
  20. 20
    Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
    Paras Sheth
    ,
    Raha Moraffah
    ,
    Tharindu S. Kumarage
    ,
    Aman Chadha
    ,
    Huan Liu
  21. 21
    CausalMMM: Learning Causal Structure for Marketing Mix Modeling
    Chang Gong
    ,
    Di Yao
    ,
    Lei Zhang
    ,
    Sheng Chen
    ,
    Wenbin Li
    ,
    Yueyang Su
    ,
    Jingping Bi
  22. 22
    CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
    Xiaodong Li
    ,
    Jiawei Sheng
    ,
    Jiangxia Cao
    ,
    Wenyuan Zhang
    ,
    Quangang Li
    ,
    Tingwen Liu
  23. 23
    CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
    Revanth Gangi Reddy
    ,
    Sharath Chandra Etagi Suresh
    ,
    Hao Bai
    ,
    Wentao Yao
    ,
    Mankeerat Sidhu
    ,
    Karan Aggarwal
    ,
    Prathamesh Sonawane
    ,
    ChengXiang Zhai
  24. 24
    CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
    Chengxin Wang
    ,
    Yuxuan Liang
    ,
    Gary Tan
  25. 25
    CL4DIV: A Contrastive Learning Framework for Search Result Diversification
    Zhirui Deng
    ,
    Zhicheng Dou
    ,
    Yutao Zhu
    ,
    Ji-Rong Wen
  26. 26
    Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation
    Tianyu Zhu
    ,
    Yansong Shi
    ,
    Yuan Zhang
    ,
    Yihong Wu
    ,
    Fengran Mo
    ,
    Jian-Yun Nie
  27. 27
    Contextual MAB Oriented Embedding Denoising for Sequential Recommendation
    Zhichao Feng
    ,
    Pengfei Wang
    ,
    Kaiyuan Li
    ,
    Chenliang Li
    ,
    Shangguang Wang
  28. 28
    Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
    Hyowon Wi
    ,
    Yehjin Shin
    ,
    Noseong Park
  29. 29
    Cost-Effective Active Learning for Bid Exploration in Online Advertising
    Zixiao Wang
    ,
    Zhenzhe Zheng
    ,
    Yanrong Kang
    ,
    Jiani Huang
  30. 30
    COTER: Conditional Optimal Transport meets Table Retrieval
    Xun Yao
    ,
    Zhixin Zhang
    ,
    Xinrong Hu
    ,
    Jie (Jack) Yang
    ,
    Yi Guo
    ,
    Daniel (Dianliang) Zhu
  31. 31
    CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
    Zhengyang Zhou
    ,
    Jiahao Shi
    ,
    Hongbo Zhang
    ,
    Qiongyu Chen
    ,
    Xu Wang
    ,
    Hongyang Chen
    ,
    Yang Wang
  32. 32
    CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
    Shohreh Deldari
    ,
    Dimitris Spathis
    ,
    Mohammad Malekzadeh
    ,
    Fahim Kawsar
    ,
    Flora D. Salim
    ,
    Akhil Mathur
  33. 33
    Customer Understanding for Recommender Systems
    Md. Mostafizur Rahman
    ,
    Yu Hirate
  34. 34
    Customized and Robust Deep Neural Network Watermarking
    Tzu-Yun Chien
    ,
    Chih-Ya Shen
  35. 35
    C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
    Menglin Kong
    ,
    Jia Wang
    ,
    Yushan Pan
    ,
    Haiyang Zhang
    ,
    Muzhou Hou
  36. 36
    Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding
    Zhihong Zhu
    ,
    Xuxin Cheng
    ,
    Hongxiang Li
    ,
    Yaowei Li
    ,
    Yuexian Zou
  37. 37
    Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
    Jiyuan Yang
    ,
    Yue Ding
    ,
    Yidan Wang
    ,
    Pengjie Ren
    ,
    Zhumin Chen
    ,
    Fei Cai
    ,
    Jun Ma
    ,
    Rui Zhang
    ,
    Zhaochun Ren
    ,
    Xin Xin
  38. 38
    Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
    Zhibo Xiao
    ,
    Luwei Yang
    ,
    Tao Zhang
    ,
    Wen Jiang
    ,
    Wei Ning
    ,
    Yujiu Yang
  39. 39
    Defense Against Model Extraction Attacks on Recommender Systems
    Sixiao Zhang
    ,
    Hongzhi Yin
    ,
    Hongxu Chen
    ,
    Cheng Long
  40. 40
    Delphic Costs and Benefits in Web Search: A Utilitarian and Historical Analysis
    Andrei Z. Broder
  41. 41
    DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
    Tianyu Fu
    ,
    Chiyue Wei
    ,
    Yu Wang
    ,
    Rex Ying
  42. 42
    Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    Yuhao Wang
    ,
    Ziru Liu
    ,
    Yichao Wang
    ,
    Xiangyu Zhao
    ,
    Bo Chen
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  43. 43
    DiffKG: Knowledge Graph Diffusion Model for Recommendation
    Yangqin Jiang
    ,
    Yuhao Yang
    ,
    Lianghao Xia
    ,
    Chao Huang
  44. 44
    Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
    Fali Wang
    ,
    Tianxiang Zhao
    ,
    Suhang Wang
  45. 45
    Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding
    Ya-Lin Zhang
    ,
    Caizhi Tang
    ,
    Lu Yu
    ,
    Jun Zhou
    ,
    Longfei Li
    ,
    Qing Cui
    ,
    Fangfang Fan
    ,
    Linbo Jiang
    ,
    Xiaosong Zhao
  46. 46
    Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
    Shuyao Wang
    ,
    Yongduo Sui
    ,
    Jiancan Wu
    ,
    Zhi Zheng
    ,
    Hui Xiong
  47. 47
    Effective and Efficient Transformer Models for Sequential Recommendation
    Aleksandr V. Petrov
  48. 48
    Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function
    Binghui Wang
    ,
    Minhua Lin
    ,
    Tianxiang Zhou
    ,
    Pan Zhou
    ,
    Ang Li
    ,
    Meng Pang
    ,
    Hai Helen Li
    ,
    Yiran Chen
  49. 49
    Empathetic Response Generation with Relation-aware Commonsense Knowledge
    Changyu Chen
    ,
    Yanran Li
    ,
    Chen Wei
    ,
    Jianwei Cui
    ,
    Bin Wang
    ,
    Rui Yan
  50. 50
    EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence
    Ambreen Hanif
    ,
    Amin Beheshti
    ,
    Xuyun Zhang
    ,
    Steven Wood
    ,
    Boualem Benatallah
    ,
    EuJin Foo