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 | Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. | Marija Sakota, Maxime Peyrard, Robert West |
| 2024 | ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees. | Sina Sajadmanesh, Daniel Gatica-Perez |
| 2024 | Ad-load Balancing via Off-policy Learning in a Content Marketplace. | Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen |
| 2024 | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. | Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li |
| 2024 | Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. | Sohini Roychowdhury |
| 2024 | Strategic ML: How to Learn With Data That 'Behaves'. | Nir Rosenfeld |
| 2024 | Preserving Heritage: Developing a Translation Tool for Indigenous Dialects. | Melissa Robles, Cristian A. Martnez, Juan Camilo Prieto, Sara Palacios, Rubn Manrique |
| 2024 | SSLRec: A Self-Supervised Learning Framework for Recommendation. | Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang |
| 2024 | Future Timelines: Extraction and Visualization of Future-related Content From News Articles. | Juwal Regev, Adam Jatowt, Michael Frber |
| 2024 | 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 |
| 2024 | "Maya"- A Conversational Shopping Assistant for Fashion at Myntra. | Akhil Raj, Hrishikesh Ganu, Saikat Kumar Das, R. Sandeep, Satyajeet Singh, Sreekanth Vempati |
| 2024 | Customer Understanding for Recommender Systems. | Md. Mostafizur Rahman, Yu Hirate |
| 2024 | Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. | Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton |
| 2024 | Budgeted Embedding Table For Recommender Systems. | Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. | Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng |
| 2024 | Scaling Up LLM Reviews for Google Ads Content Moderation. | Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek |
| 2024 | Integrity 2024: Integrity in Social Networks and Media. | Llus Garcia Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, Aristides Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco, Anton Andryeyev, Stefano Cresci, Timos Sellis, Anthony McCosker |
| 2024 | Accelerating Pharmacovigilance using Large Language Models. | Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina |
| 2024 | RecJPQ: Training Large-Catalogue Sequential Recommenders. | Aleksandr V. Petrov, Craig Macdonald |
| 2024 | Effective and Efficient Transformer Models for Sequential Recommendation. | Aleksandr V. Petrov |
| 2024 | Gaussian Graphical Model-Based Clustering of Time Series Data. | Kohei Obata |
| 2024 | A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2024 | Integrating Knowledge Graph Data with Large Language Models for Explainable Inference. | Carlos Efrain Quintero Narvaez, Ral Monroy |
| 2024 | MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. | Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang |
| 2024 | Source Free Graph Unsupervised Domain Adaptation. | Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang |
426–450 of 2,249← PreviousNext →
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