ACM International Conference on Web Search and Data Mining
WSDM
A
CORE rank
CORE rank (raw)
A
Acceptance rate
17.0% (2024)
Fields of research
Data Management and Data Science · Machine Learning
Papers indexed
2,249
2008–2026
Papers per year
2008216 peak2026
Most published authors
WSDM papers
2,249 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. | Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang |
| 2024 | Cost-Effective Active Learning for Bid Exploration in Online Advertising. | Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang |
| 2024 | FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes. | Haonan Wang, Ziwei Wu, Jingrui He |
| 2024 | Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. | Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong |
| 2024 | 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 |
| 2024 | CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting. | Chengxin Wang, Yuxuan Liang, Gary Tan |
| 2024 | Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. | Jianling Wang, Haokai Lu, Minmin Chen |
| 2024 | 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 |
| 2024 | Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. | Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He |
| 2024 | Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding. | Xiaoyu Wang, Yonghui Guo, Bin Tan, Tao Yang, Dongbo Huang, Lan Xu, Hao Zhou, Xiangyang Li |
| 2024 | NeuralReconciler for Hierarchical Time Series Forecasting. | Shiyu Wang |
| 2024 | Temporal Blind Spots in Large Language Models. | Jonas Wallat, Adam Jatowt, Avishek Anand |
| 2024 | SIRUP: Search-based Book Recommendation Playground. | Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum |
| 2024 | Long-Term Value of Exploration: Measurements, Findings and Algorithms. | Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen |
| 2024 | LEAD: Liberal Feature-based Distillation for Dense Retrieval. | Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan |
| 2024 | Rethinking and Simplifying Bootstrapped Graph Latents. | Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2024 | 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 |
| 2024 | Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. | Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang |
| 2024 | Using Causal Inference to Solve Uncertainty Issues in Dataset Shift. | Song Shuang, Muhammad Syafiq Bin Mohd Pozi |
| 2024 | Temporal Graph Analysis with TGX. | Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei |
| 2024 | Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. | Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu |
| 2024 | Proxy-based Item Representation for Attribute and Context-aware Recommendation. | Jinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park |
| 2024 | Psychology-informed Information Access Systems Workshop. | Markus Schedl, Marta Moscati, Bruno Massoni Sguerra, Romain Hennequin, Elisabeth Lex |
| 2024 | 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 |
| 2024 | Unveiling AI-Driven Collective Action for a Worker-Centric Future. | Saiph Savage |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering